Pandas Profiling Report

Dataset statistics

Number of variables	55
Number of observations	388
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	64
Duplicate rows (%)	16.5%
Total size in memory	166.8 KiB
Average record size in memory	440.3 B

Variable types

Numeric	5
Categorical	49
Boolean	1

Alerts

Dataset has 64 (16.5%) duplicate rows	Duplicates
`Reviews` has a high cardinality: 181 distinct values	High cardinality
`Time saving` is highly correlated with `Ease and convenient` and 6 other fields	High correlation
`Ease and convenient` is highly correlated with `Time saving` and 19 other fields	High correlation
`Monthly Income` is highly correlated with `Age` and 1 other fields	High correlation
`More restaurant choices` is highly correlated with `Ease and convenient` and 7 other fields	High correlation
`Good Taste` is highly correlated with `Ease and convenient` and 11 other fields	High correlation
`Good Quantity` is highly correlated with `Ease and convenient` and 13 other fields	High correlation
`Easy Payment option` is highly correlated with `Ease and convenient` and 6 other fields	High correlation
`More Offers and Discount` is highly correlated with `Ease and convenient` and 6 other fields	High correlation
`Meal(P2)` is highly correlated with `Meal(P1)`	High correlation
`Freshness` is highly correlated with `Ease and convenient` and 13 other fields	High correlation
`Output` is highly correlated with `Ease and convenient` and 1 other fields	High correlation
`Occupation` is highly correlated with `Age` and 1 other fields	High correlation
`Meal(P1)` is highly correlated with `Meal(P2)`	High correlation
`Age` is highly correlated with `Marital Status` and 3 other fields	High correlation
`Marital Status` is highly correlated with `Age`	High correlation
`Educational Qualifications` is highly correlated with `Age`	High correlation
`latitude` is highly correlated with `longitude` and 1 other fields	High correlation
`longitude` is highly correlated with `latitude` and 1 other fields	High correlation
`Pin code` is highly correlated with `latitude` and 1 other fields	High correlation
`Perference(P1)` is highly correlated with `Perference(P2)`	High correlation
`Perference(P2)` is highly correlated with `Perference(P1)`	High correlation
`Good Food quality` is highly correlated with `Ease and convenient` and 8 other fields	High correlation
`Good Tracking system` is highly correlated with `Ease and convenient` and 5 other fields	High correlation
`Self Cooking` is highly correlated with `Ease and convenient` and 3 other fields	High correlation
`Health Concern` is highly correlated with `Self Cooking` and 4 other fields	High correlation
`Late Delivery` is highly correlated with `Health Concern` and 5 other fields	High correlation
`Poor Hygiene` is highly correlated with `Ease and convenient` and 9 other fields	High correlation
`Bad past experience` is highly correlated with `Good Food quality` and 10 other fields	High correlation
`Unavailability` is highly correlated with `Ease and convenient` and 9 other fields	High correlation
`Unaffordable` is highly correlated with `Late Delivery` and 3 other fields	High correlation
`Long delivery time` is highly correlated with `Ease and convenient` and 14 other fields	High correlation
`Delay of delivery person getting assigned` is highly correlated with `Poor Hygiene` and 5 other fields	High correlation
`Delay of delivery person picking up food` is highly correlated with `Long delivery time` and 2 other fields	High correlation
`Wrong order delivered` is highly correlated with `Ease and convenient` and 7 other fields	High correlation
`Missing item` is highly correlated with `Poor Hygiene` and 6 other fields	High correlation
`Order placed by mistake` is highly correlated with `Wrong order delivered` and 1 other fields	High correlation
`Maximum wait time` is highly correlated with `Ease and convenient` and 3 other fields	High correlation
`Residence in busy location` is highly correlated with `Ease and convenient` and 13 other fields	High correlation
`Google Maps Accuracy` is highly correlated with `Residence in busy location` and 8 other fields	High correlation
`Good Road Condition` is highly correlated with `Ease and convenient` and 10 other fields	High correlation
`Low quantity low time` is highly correlated with `Residence in busy location` and 2 other fields	High correlation
`Delivery person ability` is highly correlated with `Residence in busy location` and 3 other fields	High correlation
`Less Delivery time` is highly correlated with `Residence in busy location` and 6 other fields	High correlation
`High Quality of package` is highly correlated with `Ease and convenient` and 11 other fields	High correlation
`Number of calls` is highly correlated with `Less Delivery time` and 3 other fields	High correlation
`Politeness` is highly correlated with `Ease and convenient` and 11 other fields	High correlation
`Temperature` is highly correlated with `High Quality of package` and 4 other fields	High correlation

Reproduction

Analysis started	2022-09-12 05:40:46.012533
Analysis finished	2022-09-12 05:41:13.927076
Duration	27.91 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

Age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.62886598

Minimum	18
Maximum	33
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	18
5-th percentile	21
Q1	23
median	24
Q3	26
95-th percentile	31
Maximum	33
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.975592661
Coefficient of variation (CV)	0.1208172826
Kurtosis	0.25601405
Mean	24.62886598
Median Absolute Deviation (MAD)	2
Skewness	0.8098768724
Sum	9556
Variance	8.854151682
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
23	73	18.8%
22	57	14.7%
25	52	13.4%
24	50	12.9%
26	35	9.0%
21	23	5.9%
27	21	5.4%
32	16	4.1%
28	15	3.9%
29	14	3.6%
Other values (6)	32	8.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	0.3%
19	4	1.0%
20	9	2.3%
21	23	5.9%
22	57	14.7%
23	73	18.8%
24	50	12.9%
25	52	13.4%
26	35	9.0%
27	21	5.4%

Value	Count	Frequency (%)
33	1	0.3%
32	16	4.1%
31	8	2.1%
30	9	2.3%
29	14	3.6%
28	15	3.9%
27	21	5.4%
26	35	9.0%
25	52	13.4%
24	50	12.9%

Gender
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Male	222
Female	166

Length

Max length	6
Median length	4
Mean length	4.855670103
Min length	4

Characters and Unicode

Total characters	1884
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	222	57.2%
Female	166	42.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	222	57.2%
female	166	42.8%

Most occurring characters

Value	Count	Frequency (%)
e	554	29.4%
a	388	20.6%
l	388	20.6%
M	222	11.8%
F	166	8.8%
m	166	8.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1496	79.4%
Uppercase Letter	388	20.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	554	37.0%
a	388	25.9%
l	388	25.9%
m	166	11.1%

Uppercase Letter

Value	Count	Frequency (%)
M	222	57.2%
F	166	42.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1884	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	554	29.4%
a	388	20.6%
l	388	20.6%
M	222	11.8%
F	166	8.8%
m	166	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1884	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	554	29.4%
a	388	20.6%
l	388	20.6%
M	222	11.8%
F	166	8.8%
m	166	8.8%

Marital Status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Single	268
Married	108
Prefer not to say	12

Length

Max length	17
Median length	6
Mean length	6.618556701
Min length	6

Characters and Unicode

Total characters	2568
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single
2nd row	Single
3rd row	Single
4th row	Single
5th row	Single

Common Values

Value	Count	Frequency (%)
Single	268	69.1%
Married	108	27.8%
Prefer not to say	12	3.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
single	268	63.2%
married	108	25.5%
prefer	12	2.8%
not	12	2.8%
to	12	2.8%
say	12	2.8%

Most occurring characters

Value	Count	Frequency (%)
e	400	15.6%
i	376	14.6%
n	280	10.9%
S	268	10.4%
g	268	10.4%
l	268	10.4%
r	240	9.3%
a	120	4.7%
M	108	4.2%
d	108	4.2%
Other values (7)	132	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2144	83.5%
Uppercase Letter	388	15.1%
Space Separator	36	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	400	18.7%
i	376	17.5%
n	280	13.1%
g	268	12.5%
l	268	12.5%
r	240	11.2%
a	120	5.6%
d	108	5.0%
o	24	1.1%
t	24	1.1%
Other values (3)	36	1.7%

Uppercase Letter

Value	Count	Frequency (%)
S	268	69.1%
M	108	27.8%
P	12	3.1%

Space Separator

Value	Count	Frequency (%)
	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2532	98.6%
Common	36	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	400	15.8%
i	376	14.8%
n	280	11.1%
S	268	10.6%
g	268	10.6%
l	268	10.6%
r	240	9.5%
a	120	4.7%
M	108	4.3%
d	108	4.3%
Other values (6)	96	3.8%

Common

Value	Count	Frequency (%)
	36	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2568	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	400	15.6%
i	376	14.6%
n	280	10.9%
S	268	10.4%
g	268	10.4%
l	268	10.4%
r	240	9.3%
a	120	4.7%
M	108	4.2%
d	108	4.2%
Other values (7)	132	5.1%

Occupation
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Student	207
Employee	118
Self Employeed	54
House wife	9

Length

Max length	14
Median length	7
Mean length	8.347938144
Min length	7

Characters and Unicode

Total characters	3239
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Student
2nd row	Student
3rd row	Student
4th row	Student
5th row	Student

Common Values

Value	Count	Frequency (%)
Student	207	53.4%
Employee	118	30.4%
Self Employeed	54	13.9%
House wife	9	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
student	207	45.9%
employee	118	26.2%
self	54	12.0%
employeed	54	12.0%
house	9	2.0%
wife	9	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	623	19.2%
t	414	12.8%
S	261	8.1%
d	261	8.1%
l	226	7.0%
u	216	6.7%
n	207	6.4%
o	181	5.6%
E	172	5.3%
m	172	5.3%
Other values (8)	506	15.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2734	84.4%
Uppercase Letter	442	13.6%
Space Separator	63	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	623	22.8%
t	414	15.1%
d	261	9.5%
l	226	8.3%
u	216	7.9%
n	207	7.6%
o	181	6.6%
m	172	6.3%
p	172	6.3%
y	172	6.3%
Other values (4)	90	3.3%

Uppercase Letter

Value	Count	Frequency (%)
S	261	59.0%
E	172	38.9%
H	9	2.0%

Space Separator

Value	Count	Frequency (%)
	63	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3176	98.1%
Common	63	1.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	623	19.6%
t	414	13.0%
S	261	8.2%
d	261	8.2%
l	226	7.1%
u	216	6.8%
n	207	6.5%
o	181	5.7%
E	172	5.4%
m	172	5.4%
Other values (7)	443	13.9%

Common

Value	Count	Frequency (%)
	63	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	623	19.2%
t	414	12.8%
S	261	8.1%
d	261	8.1%
l	226	7.0%
u	216	6.7%
n	207	6.4%
o	181	5.6%
E	172	5.3%
m	172	5.3%
Other values (8)	506	15.6%

Monthly Income
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

No Income	187
25001 to 50000	69
More than 50000	62
10001 to 25000	45
Below Rs.10000	25

Length

Max length	15
Median length	14
Mean length	11.75
Min length	9

Characters and Unicode

Total characters	4559
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Income
2nd row	Below Rs.10000
3rd row	Below Rs.10000
4th row	No Income
5th row	Below Rs.10000

Common Values

Value	Count	Frequency (%)
No Income	187	48.2%
25001 to 50000	69	17.8%
More than 50000	62	16.0%
10001 to 25000	45	11.6%
Below Rs.10000	25	6.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	187	19.6%
income	187	19.6%
50000	131	13.8%
to	114	12.0%
25001	69	7.2%
more	62	6.5%
than	62	6.5%
10001	45	4.7%
25000	45	4.7%
below	25	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	1032	22.6%
o	575	12.6%
	564	12.4%
e	274	6.0%
n	249	5.5%
5	245	5.4%
N	187	4.1%
I	187	4.1%
c	187	4.1%
m	187	4.1%
Other values (13)	872	19.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1909	41.9%
Decimal Number	1575	34.5%
Space Separator	564	12.4%
Uppercase Letter	486	10.7%
Other Punctuation	25	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	575	30.1%
e	274	14.4%
n	249	13.0%
c	187	9.8%
m	187	9.8%
t	176	9.2%
r	62	3.2%
h	62	3.2%
a	62	3.2%
l	25	1.3%
Other values (2)	50	2.6%

Uppercase Letter

Value	Count	Frequency (%)
N	187	38.5%
I	187	38.5%
M	62	12.8%
B	25	5.1%
R	25	5.1%

Decimal Number

Value	Count	Frequency (%)
0	1032	65.5%
5	245	15.6%
1	184	11.7%
2	114	7.2%

Space Separator

Value	Count	Frequency (%)
	564	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2395	52.5%
Common	2164	47.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	575	24.0%
e	274	11.4%
n	249	10.4%
N	187	7.8%
I	187	7.8%
c	187	7.8%
m	187	7.8%
t	176	7.3%
M	62	2.6%
r	62	2.6%
Other values (7)	249	10.4%

Common

Value	Count	Frequency (%)
0	1032	47.7%
	564	26.1%
5	245	11.3%
1	184	8.5%
2	114	5.3%
.	25	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4559	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1032	22.6%
o	575	12.6%
	564	12.4%
e	274	6.0%
n	249	5.5%
5	245	5.4%
N	187	4.1%
I	187	4.1%
c	187	4.1%
m	187	4.1%
Other values (13)	872	19.1%

Educational Qualifications
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Graduate	177
Post Graduate	174
Ph.D	23
School	12
Uneducated	2

Length

Max length	13
Median length	10
Mean length	9.953608247
Min length	4

Characters and Unicode

Total characters	3862
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Post Graduate
2nd row	Graduate
3rd row	Post Graduate
4th row	Graduate
5th row	Post Graduate

Common Values

Value	Count	Frequency (%)
Graduate	177	45.6%
Post Graduate	174	44.8%
Ph.D	23	5.9%
School	12	3.1%
Uneducated	2	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
graduate	351	62.5%
post	174	31.0%
ph.d	23	4.1%
school	12	2.1%
uneducated	2	0.4%

Most occurring characters

Value	Count	Frequency (%)
a	704	18.2%
t	527	13.6%
d	355	9.2%
e	355	9.2%
u	353	9.1%
G	351	9.1%
r	351	9.1%
o	198	5.1%
P	197	5.1%
	174	4.5%
Other values (9)	297	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3080	79.8%
Uppercase Letter	585	15.1%
Space Separator	174	4.5%
Other Punctuation	23	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	704	22.9%
t	527	17.1%
d	355	11.5%
e	355	11.5%
u	353	11.5%
r	351	11.4%
o	198	6.4%
s	174	5.6%
h	35	1.1%
c	14	0.5%
Other values (2)	14	0.5%

Uppercase Letter

Value	Count	Frequency (%)
G	351	60.0%
P	197	33.7%
D	23	3.9%
S	12	2.1%
U	2	0.3%

Space Separator

Value	Count	Frequency (%)
	174	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3665	94.9%
Common	197	5.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	704	19.2%
t	527	14.4%
d	355	9.7%
e	355	9.7%
u	353	9.6%
G	351	9.6%
r	351	9.6%
o	198	5.4%
P	197	5.4%
s	174	4.7%
Other values (7)	100	2.7%

Common

Value	Count	Frequency (%)
	174	88.3%
.	23	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3862	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	704	18.2%
t	527	13.6%
d	355	9.2%
e	355	9.2%
u	353	9.1%
G	351	9.1%
r	351	9.1%
o	198	5.1%
P	197	5.1%
	174	4.5%
Other values (9)	297	7.7%

Family size
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.280927835

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.35102494
Coefficient of variation (CV)	0.4117813642
Kurtosis	-0.6634980527
Mean	3.280927835
Median Absolute Deviation (MAD)	1
Skewness	0.4013763516
Sum	1273
Variance	1.825268388
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	117	30.2%
2	101	26.0%
4	63	16.2%
5	54	13.9%
6	29	7.5%
1	24	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	24	6.2%
2	101	26.0%
3	117	30.2%
4	63	16.2%
5	54	13.9%
6	29	7.5%

Value	Count	Frequency (%)
6	29	7.5%
5	54	13.9%
4	63	16.2%
3	117	30.2%
2	101	26.0%
1	24	6.2%

latitude
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	77
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.97205799

Minimum	12.8652
Maximum	13.102
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	12.8652
5-th percentile	12.8988
Q1	12.9369
median	12.977
Q3	12.997025
95-th percentile	13.058295
Maximum	13.102
Range	0.2368
Interquartile range (IQR)	0.060125

Descriptive statistics

Standard deviation	0.04448924863
Coefficient of variation (CV)	0.003429621473
Kurtosis	0.03057286742
Mean	12.97205799
Median Absolute Deviation (MAD)	0.0276
Skewness	0.1602584132
Sum	5033.1585
Variance	0.001979293243
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.977	36	9.3%
12.9783	16	4.1%
12.985	14	3.6%
12.8845	12	3.1%
12.9369	11	2.8%
12.9261	11	2.8%
12.9048	9	2.3%
12.9706	9	2.3%
13.0206	8	2.1%
12.9343	8	2.1%
Other values (67)	254	65.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12.8652	1	0.3%
12.8834	2	0.5%
12.8845	12	3.1%
12.8893	4	1.0%
12.8988	5	1.3%
12.9037	3	0.8%
12.9048	9	2.3%
12.9105	2	0.5%
12.9119	2	0.5%
12.9149	4	1.0%

Value	Count	Frequency (%)
13.102	2	0.5%
13.0809	2	0.5%
13.0734	4	1.0%
13.0641	5	1.3%
13.0626	7	1.8%
13.0503	2	0.5%
13.0496	1	0.3%
13.0487	8	2.1%
13.0298	2	0.5%
13.0289	3	0.8%

longitude
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	76
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.60015954

Minimum	77.4842
Maximum	77.7582
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	77.4842
5-th percentile	77.5376
Q1	77.565275
median	77.5921
Q3	77.6309
95-th percentile	77.6848
Maximum	77.7582
Range	0.274
Interquartile range (IQR)	0.065625

Descriptive statistics

Standard deviation	0.05135391701
Coefficient of variation (CV)	0.0006617759206
Kurtosis	0.9844538259
Mean	77.60015954
Median Absolute Deviation (MAD)	0.03
Skewness	0.801995129
Sum	30108.8619
Variance	0.002637224793
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77.5773	36	9.3%
77.6408	16	4.1%
77.5533	14	3.6%
77.6036	12	3.1%
77.6407	11	2.8%
77.6221	11	2.8%
77.6821	9	2.3%
77.6529	9	2.3%
77.6479	8	2.1%
77.6044	8	2.1%
Other values (66)	254	65.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
77.4842	2	0.5%
77.4904	2	0.5%
77.4921	2	0.5%
77.4941	1	0.3%
77.4992	1	0.3%
77.5128	1	0.3%
77.5135	1	0.3%
77.524	1	0.3%
77.5284	7	1.8%
77.5332	1	0.3%

Value	Count	Frequency (%)
77.7582	4	1.0%
77.75	8	2.1%
77.7132	2	0.5%
77.7081	4	1.0%
77.6848	5	1.3%
77.6821	9	2.3%
77.6804	3	0.8%
77.6713	4	1.0%
77.6593	6	1.5%
77.6529	9	2.3%

Pin code
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	77
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	560040.1134

Minimum	560001
Maximum	560109
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	560001
5-th percentile	560003
Q1	560010.75
median	560033.5
Q3	560068
95-th percentile	560096
Maximum	560109
Range	108
Interquartile range (IQR)	57.25

Descriptive statistics

Standard deviation	31.39960871
Coefficient of variation (CV)	5.606671372 × 10^-5
Kurtosis	-1.021054356
Mean	560040.1134
Median Absolute Deviation (MAD)	24.5
Skewness	0.5749126883
Sum	217295564
Variance	985.9354272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
560009	36	9.3%
560038	16	4.1%
560010	14	3.6%
560076	12	3.1%
560095	11	2.8%
560034	11	2.8%
560036	9	2.3%
560075	9	2.3%
560043	8	2.1%
560029	8	2.1%
Other values (67)	254	65.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
560001	8	2.1%
560002	6	1.5%
560003	7	1.8%
560004	5	1.3%
560005	6	1.5%
560006	5	1.3%
560007	4	1.0%
560008	6	1.5%
560009	36	9.3%
560010	14	3.6%

Value	Count	Frequency (%)
560109	1	0.3%
560104	1	0.3%
560103	5	1.3%
560102	2	0.5%
560100	4	1.0%
560098	1	0.3%
560097	2	0.5%
560096	7	1.8%
560095	11	2.8%
560093	4	1.0%

Medium (P1)
Categorical

Distinct	4
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Food delivery apps	358
Walk-in	22
Direct call	5
Web browser	3

Length

Max length	18
Median length	18
Mean length	17.23195876
Min length	7

Characters and Unicode

Total characters	6686
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Food delivery apps
2nd row	Food delivery apps
3rd row	Food delivery apps
4th row	Food delivery apps
5th row	Walk-in

Common Values

Value	Count	Frequency (%)
Food delivery apps	358	92.3%
Walk-in	22	5.7%
Direct call	5	1.3%
Web browser	3	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
food	358	32.2%
delivery	358	32.2%
apps	358	32.2%
walk-in	22	2.0%
direct	5	0.4%
call	5	0.4%
web	3	0.3%
browser	3	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	727	10.9%
	724	10.8%
o	719	10.8%
p	716	10.7%
d	716	10.7%
l	390	5.8%
a	385	5.8%
i	385	5.8%
r	369	5.5%
s	361	5.4%
Other values (12)	1194	17.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5552	83.0%
Space Separator	724	10.8%
Uppercase Letter	388	5.8%
Dash Punctuation	22	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	727	13.1%
o	719	13.0%
p	716	12.9%
d	716	12.9%
l	390	7.0%
a	385	6.9%
i	385	6.9%
r	369	6.6%
s	361	6.5%
y	358	6.4%
Other values (7)	426	7.7%

Uppercase Letter

Value	Count	Frequency (%)
F	358	92.3%
W	25	6.4%
D	5	1.3%

Space Separator

Value	Count	Frequency (%)
	724	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5940	88.8%
Common	746	11.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	727	12.2%
o	719	12.1%
p	716	12.1%
d	716	12.1%
l	390	6.6%
a	385	6.5%
i	385	6.5%
r	369	6.2%
s	361	6.1%
F	358	6.0%
Other values (10)	814	13.7%

Common

Value	Count	Frequency (%)
	724	97.1%
-	22	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6686	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	727	10.9%
	724	10.8%
o	719	10.8%
p	716	10.7%
d	716	10.7%
l	390	5.8%
a	385	5.8%
i	385	5.8%
r	369	5.5%
s	361	5.4%
Other values (12)	1194	17.9%

Medium (P2)
Categorical

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Direct call	208
Walk-in	104
Web browser	76

Length

Max length	12
Median length	12
Mean length	10.92783505
Min length	8

Characters and Unicode

Total characters	4240
Distinct characters	17
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Web browser
2nd row	Web browser
3rd row	Direct call
4th row	Walk-in
5th row	Direct call

Common Values

Value	Count	Frequency (%)
Direct call	208	53.6%
Walk-in	104	26.8%
Web browser	76	19.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
direct	208	31.0%
call	208	31.0%
walk-in	104	15.5%
web	76	11.3%
browser	76	11.3%

Most occurring characters

Value	Count	Frequency (%)
	672	15.8%
l	520	12.3%
c	416	9.8%
r	360	8.5%
e	360	8.5%
i	312	7.4%
a	312	7.4%
t	208	4.9%
D	208	4.9%
W	180	4.2%
Other values (7)	692	16.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3076	72.5%
Space Separator	672	15.8%
Uppercase Letter	388	9.2%
Dash Punctuation	104	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	520	16.9%
c	416	13.5%
r	360	11.7%
e	360	11.7%
i	312	10.1%
a	312	10.1%
t	208	6.8%
b	152	4.9%
k	104	3.4%
n	104	3.4%
Other values (3)	228	7.4%

Uppercase Letter

Value	Count	Frequency (%)
D	208	53.6%
W	180	46.4%

Space Separator

Value	Count	Frequency (%)
	672	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	104	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3464	81.7%
Common	776	18.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	520	15.0%
c	416	12.0%
r	360	10.4%
e	360	10.4%
i	312	9.0%
a	312	9.0%
t	208	6.0%
D	208	6.0%
W	180	5.2%
b	152	4.4%
Other values (5)	436	12.6%

Common

Value	Count	Frequency (%)
	672	86.6%
-	104	13.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	672	15.8%
l	520	12.3%
c	416	9.8%
r	360	8.5%
e	360	8.5%
i	312	7.4%
a	312	7.4%
t	208	4.9%
D	208	4.9%
W	180	4.2%
Other values (7)	692	16.3%

Meal(P1)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Snacks	124
Lunch	120
Dinner	91
Breakfast	53

Length

Max length	9
Median length	6
Mean length	6.100515464
Min length	5

Characters and Unicode

Total characters	2367
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Breakfast
2nd row	Snacks
3rd row	Lunch
4th row	Snacks
5th row	Lunch

Common Values

Value	Count	Frequency (%)
Snacks	124	32.0%
Lunch	120	30.9%
Dinner	91	23.5%
Breakfast	53	13.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
snacks	124	32.0%
lunch	120	30.9%
dinner	91	23.5%
breakfast	53	13.7%

Most occurring characters

Value	Count	Frequency (%)
n	426	18.0%
c	244	10.3%
a	230	9.7%
k	177	7.5%
s	177	7.5%
e	144	6.1%
r	144	6.1%
S	124	5.2%
L	120	5.1%
u	120	5.1%
Other values (6)	461	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1979	83.6%
Uppercase Letter	388	16.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	426	21.5%
c	244	12.3%
a	230	11.6%
k	177	8.9%
s	177	8.9%
e	144	7.3%
r	144	7.3%
u	120	6.1%
h	120	6.1%
i	91	4.6%
Other values (2)	106	5.4%

Uppercase Letter

Value	Count	Frequency (%)
S	124	32.0%
L	120	30.9%
D	91	23.5%
B	53	13.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2367	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	426	18.0%
c	244	10.3%
a	230	9.7%
k	177	7.5%
s	177	7.5%
e	144	6.1%
r	144	6.1%
S	124	5.2%
L	120	5.1%
u	120	5.1%
Other values (6)	461	19.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2367	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	426	18.0%
c	244	10.3%
a	230	9.7%
k	177	7.5%
s	177	7.5%
e	144	6.1%
r	144	6.1%
S	124	5.2%
L	120	5.1%
u	120	5.1%
Other values (6)	461	19.5%

Meal(P2)
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Dinner	312
Snacks	48
Lunch	28

Length

Max length	7
Median length	7
Mean length	6.927835052
Min length	6

Characters and Unicode

Total characters	2688
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lunch
2nd row	Dinner
3rd row	Snacks
4th row	Dinner
5th row	Dinner

Common Values

Value	Count	Frequency (%)
Dinner	312	80.4%
Snacks	48	12.4%
Lunch	28	7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
dinner	312	80.4%
snacks	48	12.4%
lunch	28	7.2%

Most occurring characters

Value	Count	Frequency (%)
n	700	26.0%
	388	14.4%
D	312	11.6%
i	312	11.6%
e	312	11.6%
r	312	11.6%
c	76	2.8%
S	48	1.8%
a	48	1.8%
k	48	1.8%
Other values (4)	132	4.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1912	71.1%
Space Separator	388	14.4%
Uppercase Letter	388	14.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	700	36.6%
i	312	16.3%
e	312	16.3%
r	312	16.3%
c	76	4.0%
a	48	2.5%
k	48	2.5%
s	48	2.5%
u	28	1.5%
h	28	1.5%

Uppercase Letter

Value	Count	Frequency (%)
D	312	80.4%
S	48	12.4%
L	28	7.2%

Space Separator

Value	Count	Frequency (%)
	388	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2300	85.6%
Common	388	14.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	700	30.4%
D	312	13.6%
i	312	13.6%
e	312	13.6%
r	312	13.6%
c	76	3.3%
S	48	2.1%
a	48	2.1%
k	48	2.1%
s	48	2.1%
Other values (3)	84	3.7%

Common

Value	Count	Frequency (%)
	388	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2688	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	700	26.0%
	388	14.4%
D	312	11.6%
i	312	11.6%
e	312	11.6%
r	312	11.6%
c	76	2.8%
S	48	1.8%
a	48	1.8%
k	48	1.8%
Other values (4)	132	4.9%

Perference(P1)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Non Veg foods (Lunch / Dinner)	315
Veg foods (Breakfast / Lunch / Dinner)	69
Sweets	3
Bakery items (snacks)	1

Length

Max length	38
Median length	30
Mean length	31.21391753
Min length	6

Characters and Unicode

Total characters	12111
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.3%

Sample

1st row	Non Veg foods (Lunch / Dinner)
2nd row	Non Veg foods (Lunch / Dinner)
3rd row	Non Veg foods (Lunch / Dinner)
4th row	Veg foods (Breakfast / Lunch / Dinner)
5th row	Non Veg foods (Lunch / Dinner)

Common Values

Value	Count	Frequency (%)
Non Veg foods (Lunch / Dinner)	315	81.2%
Veg foods (Breakfast / Lunch / Dinner)	69	17.8%
Sweets	3	0.8%
Bakery items (snacks)	1	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
	453	19.0%
veg	384	16.1%
foods	384	16.1%
lunch	384	16.1%
dinner	384	16.1%
non	315	13.2%
breakfast	69	2.9%
sweets	3	0.1%
bakery	1	< 0.1%
items	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	1991	16.4%
n	1468	12.1%
o	1083	8.9%
e	845	7.0%
s	459	3.8%
r	454	3.7%
f	453	3.7%
/	453	3.7%
)	385	3.2%
(	385	3.2%
Other values (18)	4135	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7357	60.7%
Space Separator	1991	16.4%
Uppercase Letter	1540	12.7%
Other Punctuation	453	3.7%
Close Punctuation	385	3.2%
Open Punctuation	385	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1468	20.0%
o	1083	14.7%
e	845	11.5%
s	459	6.2%
r	454	6.2%
f	453	6.2%
c	385	5.2%
i	385	5.2%
g	384	5.2%
d	384	5.2%
Other values (8)	1057	14.4%

Uppercase Letter

Value	Count	Frequency (%)
L	384	24.9%
V	384	24.9%
D	384	24.9%
N	315	20.5%
B	70	4.5%
S	3	0.2%

Space Separator

Value	Count	Frequency (%)
	1991	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	453	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	385	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	385	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8897	73.5%
Common	3214	26.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1468	16.5%
o	1083	12.2%
e	845	9.5%
s	459	5.2%
r	454	5.1%
f	453	5.1%
c	385	4.3%
i	385	4.3%
g	384	4.3%
d	384	4.3%
Other values (14)	2597	29.2%

Common

Value	Count	Frequency (%)
	1991	61.9%
/	453	14.1%
)	385	12.0%
(	385	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12111	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1991	16.4%
n	1468	12.1%
o	1083	8.9%
e	845	7.0%
s	459	3.8%
r	454	3.7%
f	453	3.7%
/	453	3.7%
)	385	3.2%
(	385	3.2%
Other values (18)	4135	34.1%

Perference(P2)
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Veg foods (Breakfast / Lunch / Dinner)	294
Sweets	46
Ice cream / Cool drinks	35
Bakery items (snacks)	13

Length

Max length	39
Median length	39
Mean length	33.28350515
Min length	7

Characters and Unicode

Total characters	12914
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bakery items (snacks)
2nd row	Veg foods (Breakfast / Lunch / Dinner)
3rd row	Ice cream / Cool drinks
4th row	Bakery items (snacks)
5th row	Veg foods (Breakfast / Lunch / Dinner)

Common Values

Value	Count	Frequency (%)
Veg foods (Breakfast / Lunch / Dinner)	294	75.8%
Sweets	46	11.9%
Ice cream / Cool drinks	35	9.0%
Bakery items (snacks)	13	3.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
	623	26.9%
veg	294	12.7%
foods	294	12.7%
breakfast	294	12.7%
lunch	294	12.7%
dinner	294	12.7%
sweets	46	2.0%
ice	35	1.5%
cream	35	1.5%
cool	35	1.5%
Other values (4)	74	3.2%

Most occurring characters

Value	Count	Frequency (%)
	2318	17.9%
e	1070	8.3%
n	930	7.2%
s	708	5.5%
r	671	5.2%
o	658	5.1%
a	649	5.0%
/	623	4.8%
f	588	4.6%
c	377	2.9%
Other values (20)	4322	33.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8054	62.4%
Space Separator	2318	17.9%
Uppercase Letter	1305	10.1%
Other Punctuation	623	4.8%
Open Punctuation	307	2.4%
Close Punctuation	307	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1070	13.3%
n	930	11.5%
s	708	8.8%
r	671	8.3%
o	658	8.2%
a	649	8.1%
f	588	7.3%
c	377	4.7%
k	355	4.4%
t	353	4.4%
Other values (9)	1695	21.0%

Uppercase Letter

Value	Count	Frequency (%)
B	307	23.5%
D	294	22.5%
L	294	22.5%
V	294	22.5%
S	46	3.5%
I	35	2.7%
C	35	2.7%

Space Separator

Value	Count	Frequency (%)
	2318	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	623	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	307	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	307	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9359	72.5%
Common	3555	27.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1070	11.4%
n	930	9.9%
s	708	7.6%
r	671	7.2%
o	658	7.0%
a	649	6.9%
f	588	6.3%
c	377	4.0%
k	355	3.8%
t	353	3.8%
Other values (16)	3000	32.1%

Common

Value	Count	Frequency (%)
	2318	65.2%
/	623	17.5%
(	307	8.6%
)	307	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12914	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2318	17.9%
e	1070	8.3%
n	930	7.2%
s	708	5.5%
r	671	5.2%
o	658	5.1%
a	649	5.0%
/	623	4.8%
f	588	4.6%
c	377	2.9%
Other values (20)	4322	33.5%

Ease and convenient
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	235
Strongly agree	67
Disagree	58
Neutral	20
Strongly disagree	8

Length

Max length	17
Median length	5
Mean length	7.353092784
Min length	5

Characters and Unicode

Total characters	2853
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Strongly agree
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	235	60.6%
Strongly agree	67	17.3%
Disagree	58	14.9%
Neutral	20	5.2%
Strongly disagree	8	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	302	65.2%
strongly	75	16.2%
disagree	66	14.3%
neutral	20	4.3%

Most occurring characters

Value	Count	Frequency (%)
e	756	26.5%
r	463	16.2%
g	443	15.5%
A	235	8.2%
a	153	5.4%
l	95	3.3%
t	95	3.3%
	75	2.6%
y	75	2.6%
n	75	2.6%
Other values (8)	388	13.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2390	83.8%
Uppercase Letter	388	13.6%
Space Separator	75	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	756	31.6%
r	463	19.4%
g	443	18.5%
a	153	6.4%
l	95	4.0%
t	95	4.0%
y	75	3.1%
n	75	3.1%
o	75	3.1%
i	66	2.8%
Other values (3)	94	3.9%

Uppercase Letter

Value	Count	Frequency (%)
A	235	60.6%
S	75	19.3%
D	58	14.9%
N	20	5.2%

Space Separator

Value	Count	Frequency (%)
	75	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2778	97.4%
Common	75	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	756	27.2%
r	463	16.7%
g	443	15.9%
A	235	8.5%
a	153	5.5%
l	95	3.4%
t	95	3.4%
y	75	2.7%
n	75	2.7%
o	75	2.7%
Other values (7)	313	11.3%

Common

Value	Count	Frequency (%)
	75	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2853	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	756	26.5%
r	463	16.2%
g	443	15.5%
A	235	8.2%
a	153	5.4%
l	95	3.3%
t	95	3.3%
	75	2.6%
y	75	2.6%
n	75	2.6%
Other values (8)	388	13.6%

Time saving
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	143
Strongly agree	115
Disagree	66
Neutral	55
Strongly disagree	9

Length

Max length	17
Median length	14
Mean length	8.739690722
Min length	5

Characters and Unicode

Total characters	3391
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Strongly agree
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	143	36.9%
Strongly agree	115	29.6%
Disagree	66	17.0%
Neutral	55	14.2%
Strongly disagree	9	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	258	50.4%
strongly	124	24.2%
disagree	75	14.6%
neutral	55	10.7%

Most occurring characters

Value	Count	Frequency (%)
e	721	21.3%
r	512	15.1%
g	457	13.5%
a	245	7.2%
l	179	5.3%
t	179	5.3%
A	143	4.2%
	124	3.7%
y	124	3.7%
n	124	3.7%
Other values (8)	583	17.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2879	84.9%
Uppercase Letter	388	11.4%
Space Separator	124	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	721	25.0%
r	512	17.8%
g	457	15.9%
a	245	8.5%
l	179	6.2%
t	179	6.2%
y	124	4.3%
n	124	4.3%
o	124	4.3%
i	75	2.6%
Other values (3)	139	4.8%

Uppercase Letter

Value	Count	Frequency (%)
A	143	36.9%
S	124	32.0%
D	66	17.0%
N	55	14.2%

Space Separator

Value	Count	Frequency (%)
	124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3267	96.3%
Common	124	3.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	721	22.1%
r	512	15.7%
g	457	14.0%
a	245	7.5%
l	179	5.5%
t	179	5.5%
A	143	4.4%
y	124	3.8%
n	124	3.8%
o	124	3.8%
Other values (7)	459	14.0%

Common

Value	Count	Frequency (%)
	124	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3391	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	721	21.3%
r	512	15.1%
g	457	13.5%
a	245	7.2%
l	179	5.3%
t	179	5.3%
A	143	4.2%
	124	3.7%
y	124	3.7%
n	124	3.7%
Other values (8)	583	17.2%

More restaurant choices
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	169
Strongly agree	104
Neutral	55
Disagree	45
Strongly disagree	15

Length

Max length	17
Median length	14
Mean length	8.507731959
Min length	5

Characters and Unicode

Total characters	3301
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Strongly agree
4th row	Strongly agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	169	43.6%
Strongly agree	104	26.8%
Neutral	55	14.2%
Disagree	45	11.6%
Strongly disagree	15	3.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	273	53.8%
strongly	119	23.5%
disagree	60	11.8%
neutral	55	10.8%

Most occurring characters

Value	Count	Frequency (%)
e	721	21.8%
r	507	15.4%
g	452	13.7%
a	219	6.6%
l	174	5.3%
t	174	5.3%
A	169	5.1%
	119	3.6%
y	119	3.6%
n	119	3.6%
Other values (8)	528	16.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2794	84.6%
Uppercase Letter	388	11.8%
Space Separator	119	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	721	25.8%
r	507	18.1%
g	452	16.2%
a	219	7.8%
l	174	6.2%
t	174	6.2%
y	119	4.3%
n	119	4.3%
o	119	4.3%
i	60	2.1%
Other values (3)	130	4.7%

Uppercase Letter

Value	Count	Frequency (%)
A	169	43.6%
S	119	30.7%
N	55	14.2%
D	45	11.6%

Space Separator

Value	Count	Frequency (%)
	119	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3182	96.4%
Common	119	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	721	22.7%
r	507	15.9%
g	452	14.2%
a	219	6.9%
l	174	5.5%
t	174	5.5%
A	169	5.3%
y	119	3.7%
n	119	3.7%
o	119	3.7%
Other values (7)	409	12.9%

Common

Value	Count	Frequency (%)
	119	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3301	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	721	21.8%
r	507	15.4%
g	452	13.7%
a	219	6.6%
l	174	5.3%
t	174	5.3%
A	169	5.1%
	119	3.6%
y	119	3.6%
n	119	3.6%
Other values (8)	528	16.0%

Easy Payment option
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	143
Strongly agree	93
Neutral	76
Disagree	52
Strongly disagree	24

Length

Max length	17
Median length	14
Mean length	8.693298969
Min length	5

Characters and Unicode

Total characters	3373
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Neutral
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	143	36.9%
Strongly agree	93	24.0%
Neutral	76	19.6%
Disagree	52	13.4%
Strongly disagree	24	6.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	236	46.7%
strongly	117	23.2%
neutral	76	15.0%
disagree	76	15.0%

Most occurring characters

Value	Count	Frequency (%)
e	700	20.8%
r	505	15.0%
g	429	12.7%
a	245	7.3%
l	193	5.7%
t	193	5.7%
A	143	4.2%
	117	3.5%
y	117	3.5%
n	117	3.5%
Other values (8)	614	18.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2868	85.0%
Uppercase Letter	388	11.5%
Space Separator	117	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	700	24.4%
r	505	17.6%
g	429	15.0%
a	245	8.5%
l	193	6.7%
t	193	6.7%
y	117	4.1%
n	117	4.1%
o	117	4.1%
u	76	2.6%
Other values (3)	176	6.1%

Uppercase Letter

Value	Count	Frequency (%)
A	143	36.9%
S	117	30.2%
N	76	19.6%
D	52	13.4%

Space Separator

Value	Count	Frequency (%)
	117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3256	96.5%
Common	117	3.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	700	21.5%
r	505	15.5%
g	429	13.2%
a	245	7.5%
l	193	5.9%
t	193	5.9%
A	143	4.4%
y	117	3.6%
n	117	3.6%
o	117	3.6%
Other values (7)	497	15.3%

Common

Value	Count	Frequency (%)
	117	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3373	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	700	20.8%
r	505	15.0%
g	429	12.7%
a	245	7.3%
l	193	5.7%
t	193	5.7%
A	143	4.2%
	117	3.5%
y	117	3.5%
n	117	3.5%
Other values (8)	614	18.2%

More Offers and Discount
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	132
Strongly agree	94
Neutral	76
Disagree	63
Strongly disagree	23

Length

Max length	17
Median length	14
Mean length	8.770618557
Min length	5

Characters and Unicode

Total characters	3403
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Neutral
4th row	Strongly agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	132	34.0%
Strongly agree	94	24.2%
Neutral	76	19.6%
Disagree	63	16.2%
Strongly disagree	23	5.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	226	44.8%
strongly	117	23.2%
disagree	86	17.0%
neutral	76	15.0%

Most occurring characters

Value	Count	Frequency (%)
e	700	20.6%
r	505	14.8%
g	429	12.6%
a	256	7.5%
l	193	5.7%
t	193	5.7%
A	132	3.9%
	117	3.4%
y	117	3.4%
n	117	3.4%
Other values (8)	644	18.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2898	85.2%
Uppercase Letter	388	11.4%
Space Separator	117	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	700	24.2%
r	505	17.4%
g	429	14.8%
a	256	8.8%
l	193	6.7%
t	193	6.7%
y	117	4.0%
n	117	4.0%
o	117	4.0%
i	86	3.0%
Other values (3)	185	6.4%

Uppercase Letter

Value	Count	Frequency (%)
A	132	34.0%
S	117	30.2%
N	76	19.6%
D	63	16.2%

Space Separator

Value	Count	Frequency (%)
	117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3286	96.6%
Common	117	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	700	21.3%
r	505	15.4%
g	429	13.1%
a	256	7.8%
l	193	5.9%
t	193	5.9%
A	132	4.0%
y	117	3.6%
n	117	3.6%
o	117	3.6%
Other values (7)	527	16.0%

Common

Value	Count	Frequency (%)
	117	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3403	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	700	20.6%
r	505	14.8%
g	429	12.6%
a	256	7.5%
l	193	5.7%
t	193	5.7%
A	132	3.9%
	117	3.4%
y	117	3.4%
n	117	3.4%
Other values (8)	644	18.9%

Good Food quality
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	141
Neutral	112
Strongly agree	68
Disagree	49
Strongly disagree	18

Length

Max length	17
Median length	14
Mean length	8.090206186
Min length	5

Characters and Unicode

Total characters	3139
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Neutral
3rd row	Disagree
4th row	Agree
5th row	Neutral

Common Values

Value	Count	Frequency (%)
Agree	141	36.3%
Neutral	112	28.9%
Strongly agree	68	17.5%
Disagree	49	12.6%
Strongly disagree	18	4.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	209	44.1%
neutral	112	23.6%
strongly	86	18.1%
disagree	67	14.1%

Most occurring characters

Value	Count	Frequency (%)
e	664	21.2%
r	474	15.1%
g	362	11.5%
a	247	7.9%
t	198	6.3%
l	198	6.3%
A	141	4.5%
N	112	3.6%
u	112	3.6%
y	86	2.7%
Other values (8)	545	17.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2665	84.9%
Uppercase Letter	388	12.4%
Space Separator	86	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	664	24.9%
r	474	17.8%
g	362	13.6%
a	247	9.3%
t	198	7.4%
l	198	7.4%
u	112	4.2%
y	86	3.2%
n	86	3.2%
o	86	3.2%
Other values (3)	152	5.7%

Uppercase Letter

Value	Count	Frequency (%)
A	141	36.3%
N	112	28.9%
S	86	22.2%
D	49	12.6%

Space Separator

Value	Count	Frequency (%)
	86	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3053	97.3%
Common	86	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	664	21.7%
r	474	15.5%
g	362	11.9%
a	247	8.1%
t	198	6.5%
l	198	6.5%
A	141	4.6%
N	112	3.7%
u	112	3.7%
y	86	2.8%
Other values (7)	459	15.0%

Common

Value	Count	Frequency (%)
	86	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3139	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	664	21.2%
r	474	15.1%
g	362	11.5%
a	247	7.9%
t	198	6.3%
l	198	6.3%
A	141	4.5%
N	112	3.6%
u	112	3.6%
y	86	2.7%
Other values (8)	545	17.4%

Good Tracking system
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	161
Strongly agree	111
Neutral	68
Disagree	27
Strongly disagree	21

Length

Max length	17
Median length	14
Mean length	8.783505155
Min length	5

Characters and Unicode

Total characters	3408
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Agree
3rd row	Neutral
4th row	Agree
5th row	Neutral

Common Values

Value	Count	Frequency (%)
Agree	161	41.5%
Strongly agree	111	28.6%
Neutral	68	17.5%
Disagree	27	7.0%
Strongly disagree	21	5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	272	52.3%
strongly	132	25.4%
neutral	68	13.1%
disagree	48	9.2%

Most occurring characters

Value	Count	Frequency (%)
e	708	20.8%
r	520	15.3%
g	452	13.3%
a	227	6.7%
l	200	5.9%
t	200	5.9%
A	161	4.7%
	132	3.9%
y	132	3.9%
n	132	3.9%
Other values (8)	544	16.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2888	84.7%
Uppercase Letter	388	11.4%
Space Separator	132	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	708	24.5%
r	520	18.0%
g	452	15.7%
a	227	7.9%
l	200	6.9%
t	200	6.9%
y	132	4.6%
n	132	4.6%
o	132	4.6%
u	68	2.4%
Other values (3)	117	4.1%

Uppercase Letter

Value	Count	Frequency (%)
A	161	41.5%
S	132	34.0%
N	68	17.5%
D	27	7.0%

Space Separator

Value	Count	Frequency (%)
	132	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3276	96.1%
Common	132	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	708	21.6%
r	520	15.9%
g	452	13.8%
a	227	6.9%
l	200	6.1%
t	200	6.1%
A	161	4.9%
y	132	4.0%
n	132	4.0%
o	132	4.0%
Other values (7)	412	12.6%

Common

Value	Count	Frequency (%)
	132	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3408	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	708	20.8%
r	520	15.3%
g	452	13.3%
a	227	6.7%
l	200	5.9%
t	200	5.9%
A	161	4.7%
	132	3.9%
y	132	3.9%
n	132	3.9%
Other values (8)	544	16.0%

Self Cooking
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	166
Disagree	140
Neutral	48
Strongly agree	19
Strongly disagree	15

Length

Max length	17
Median length	14
Mean length	7.234536082
Min length	5

Characters and Unicode

Total characters	2807
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Disagree
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	166	42.8%
Disagree	140	36.1%
Neutral	48	12.4%
Strongly agree	19	4.9%
Strongly disagree	15	3.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	185	43.8%
disagree	155	36.7%
neutral	48	11.4%
strongly	34	8.1%

Most occurring characters

Value	Count	Frequency (%)
e	728	25.9%
r	422	15.0%
g	374	13.3%
a	222	7.9%
A	166	5.9%
i	155	5.5%
s	155	5.5%
D	140	5.0%
t	82	2.9%
l	82	2.9%
Other values (8)	281	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2385	85.0%
Uppercase Letter	388	13.8%
Space Separator	34	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	728	30.5%
r	422	17.7%
g	374	15.7%
a	222	9.3%
i	155	6.5%
s	155	6.5%
t	82	3.4%
l	82	3.4%
u	48	2.0%
o	34	1.4%
Other values (3)	83	3.5%

Uppercase Letter

Value	Count	Frequency (%)
A	166	42.8%
D	140	36.1%
N	48	12.4%
S	34	8.8%

Space Separator

Value	Count	Frequency (%)
	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2773	98.8%
Common	34	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	728	26.3%
r	422	15.2%
g	374	13.5%
a	222	8.0%
A	166	6.0%
i	155	5.6%
s	155	5.6%
D	140	5.0%
t	82	3.0%
l	82	3.0%
Other values (7)	247	8.9%

Common

Value	Count	Frequency (%)
	34	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2807	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	728	25.9%
r	422	15.0%
g	374	13.3%
a	222	7.9%
A	166	5.9%
i	155	5.5%
s	155	5.5%
D	140	5.0%
t	82	2.9%
l	82	2.9%
Other values (8)	281	10.0%

Health Concern
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	121
Disagree	119
Neutral	68
Strongly agree	67
Strongly disagree	13

Length

Max length	17
Median length	14
Mean length	8.226804124
Min length	5

Characters and Unicode

Total characters	3192
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Neutral
4th row	Strongly agree
5th row	Strongly agree

Common Values

Value	Count	Frequency (%)
Agree	121	31.2%
Disagree	119	30.7%
Neutral	68	17.5%
Strongly agree	67	17.3%
Strongly disagree	13	3.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	188	40.2%
disagree	132	28.2%
strongly	80	17.1%
neutral	68	14.5%

Most occurring characters

Value	Count	Frequency (%)
e	708	22.2%
r	468	14.7%
g	400	12.5%
a	267	8.4%
t	148	4.6%
l	148	4.6%
i	132	4.1%
s	132	4.1%
A	121	3.8%
D	119	3.7%
Other values (8)	549	17.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2724	85.3%
Uppercase Letter	388	12.2%
Space Separator	80	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	708	26.0%
r	468	17.2%
g	400	14.7%
a	267	9.8%
t	148	5.4%
l	148	5.4%
i	132	4.8%
s	132	4.8%
y	80	2.9%
o	80	2.9%
Other values (3)	161	5.9%

Uppercase Letter

Value	Count	Frequency (%)
A	121	31.2%
D	119	30.7%
S	80	20.6%
N	68	17.5%

Space Separator

Value	Count	Frequency (%)
	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3112	97.5%
Common	80	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	708	22.8%
r	468	15.0%
g	400	12.9%
a	267	8.6%
t	148	4.8%
l	148	4.8%
i	132	4.2%
s	132	4.2%
A	121	3.9%
D	119	3.8%
Other values (7)	469	15.1%

Common

Value	Count	Frequency (%)
	80	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	708	22.2%
r	468	14.7%
g	400	12.5%
a	267	8.4%
t	148	4.6%
l	148	4.6%
i	132	4.1%
s	132	4.1%
A	121	3.8%
D	119	3.7%
Other values (8)	549	17.2%

Late Delivery
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	163
Neutral	87
Disagree	74
Strongly disagree	33
Strongly agree	31

Length

Max length	17
Median length	14
Mean length	7.760309278
Min length	5

Characters and Unicode

Total characters	3011
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Agree
3rd row	Neutral
4th row	Neutral
5th row	Strongly agree

Common Values

Value	Count	Frequency (%)
Agree	163	42.0%
Neutral	87	22.4%
Disagree	74	19.1%
Strongly disagree	33	8.5%
Strongly agree	31	8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	194	42.9%
disagree	107	23.7%
neutral	87	19.2%
strongly	64	14.2%

Most occurring characters

Value	Count	Frequency (%)
e	689	22.9%
r	452	15.0%
g	365	12.1%
a	225	7.5%
A	163	5.4%
t	151	5.0%
l	151	5.0%
s	107	3.6%
i	107	3.6%
N	87	2.9%
Other values (8)	514	17.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2559	85.0%
Uppercase Letter	388	12.9%
Space Separator	64	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	689	26.9%
r	452	17.7%
g	365	14.3%
a	225	8.8%
t	151	5.9%
l	151	5.9%
s	107	4.2%
i	107	4.2%
u	87	3.4%
o	64	2.5%
Other values (3)	161	6.3%

Uppercase Letter

Value	Count	Frequency (%)
A	163	42.0%
N	87	22.4%
D	74	19.1%
S	64	16.5%

Space Separator

Value	Count	Frequency (%)
	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2947	97.9%
Common	64	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	689	23.4%
r	452	15.3%
g	365	12.4%
a	225	7.6%
A	163	5.5%
t	151	5.1%
l	151	5.1%
s	107	3.6%
i	107	3.6%
N	87	3.0%
Other values (7)	450	15.3%

Common

Value	Count	Frequency (%)
	64	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3011	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	689	22.9%
r	452	15.0%
g	365	12.1%
a	225	7.5%
A	163	5.4%
t	151	5.0%
l	151	5.0%
s	107	3.6%
i	107	3.6%
N	87	2.9%
Other values (8)	514	17.1%

Poor Hygiene
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	112
Agree	110
Neutral	88
Strongly agree	52
Strongly disagree	26

Length

Max length	17
Median length	14
Mean length	8.329896907
Min length	5

Characters and Unicode

Total characters	3232
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Agree
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Disagree	112	28.9%
Agree	110	28.4%
Neutral	88	22.7%
Strongly agree	52	13.4%
Strongly disagree	26	6.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	162	34.8%
disagree	138	29.6%
neutral	88	18.9%
strongly	78	16.7%

Most occurring characters

Value	Count	Frequency (%)
e	688	21.3%
r	466	14.4%
g	378	11.7%
a	278	8.6%
t	166	5.1%
l	166	5.1%
s	138	4.3%
i	138	4.3%
D	112	3.5%
A	110	3.4%
Other values (8)	592	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2766	85.6%
Uppercase Letter	388	12.0%
Space Separator	78	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	688	24.9%
r	466	16.8%
g	378	13.7%
a	278	10.1%
t	166	6.0%
l	166	6.0%
s	138	5.0%
i	138	5.0%
u	88	3.2%
o	78	2.8%
Other values (3)	182	6.6%

Uppercase Letter

Value	Count	Frequency (%)
D	112	28.9%
A	110	28.4%
N	88	22.7%
S	78	20.1%

Space Separator

Value	Count	Frequency (%)
	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3154	97.6%
Common	78	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	688	21.8%
r	466	14.8%
g	378	12.0%
a	278	8.8%
t	166	5.3%
l	166	5.3%
s	138	4.4%
i	138	4.4%
D	112	3.6%
A	110	3.5%
Other values (7)	514	16.3%

Common

Value	Count	Frequency (%)
	78	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	688	21.3%
r	466	14.4%
g	378	11.7%
a	278	8.6%
t	166	5.1%
l	166	5.1%
s	138	4.3%
i	138	4.3%
D	112	3.5%
A	110	3.4%
Other values (8)	592	18.3%

Bad past experience
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	143
Agree	99
Neutral	85
Strongly agree	31
Strongly disagree	30

Length

Max length	17
Median length	14
Mean length	8.190721649
Min length	5

Characters and Unicode

Total characters	3178
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Agree
4th row	Disagree
5th row	Strongly agree

Common Values

Value	Count	Frequency (%)
Disagree	143	36.9%
Agree	99	25.5%
Neutral	85	21.9%
Strongly agree	31	8.0%
Strongly disagree	30	7.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
disagree	173	38.5%
agree	130	29.0%
neutral	85	18.9%
strongly	61	13.6%

Most occurring characters

Value	Count	Frequency (%)
e	691	21.7%
r	449	14.1%
g	364	11.5%
a	289	9.1%
s	173	5.4%
i	173	5.4%
t	146	4.6%
l	146	4.6%
D	143	4.5%
A	99	3.1%
Other values (8)	505	15.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2729	85.9%
Uppercase Letter	388	12.2%
Space Separator	61	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	691	25.3%
r	449	16.5%
g	364	13.3%
a	289	10.6%
s	173	6.3%
i	173	6.3%
t	146	5.3%
l	146	5.3%
u	85	3.1%
o	61	2.2%
Other values (3)	152	5.6%

Uppercase Letter

Value	Count	Frequency (%)
D	143	36.9%
A	99	25.5%
N	85	21.9%
S	61	15.7%

Space Separator

Value	Count	Frequency (%)
	61	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3117	98.1%
Common	61	1.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	691	22.2%
r	449	14.4%
g	364	11.7%
a	289	9.3%
s	173	5.6%
i	173	5.6%
t	146	4.7%
l	146	4.7%
D	143	4.6%
A	99	3.2%
Other values (7)	444	14.2%

Common

Value	Count	Frequency (%)
	61	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	691	21.7%
r	449	14.1%
g	364	11.5%
a	289	9.1%
s	173	5.4%
i	173	5.4%
t	146	4.6%
l	146	4.6%
D	143	4.5%
A	99	3.1%
Other values (8)	505	15.9%

Unavailability
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	126
Agree	95
Neutral	73
Strongly disagree	63
Strongly agree	31

Length

Max length	17
Median length	14
Mean length	9.018041237
Min length	5

Characters and Unicode

Total characters	3499
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Agree
4th row	Disagree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Disagree	126	32.5%
Agree	95	24.5%
Neutral	73	18.8%
Strongly disagree	63	16.2%
Strongly agree	31	8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
disagree	189	39.2%
agree	126	26.1%
strongly	94	19.5%
neutral	73	15.1%

Most occurring characters

Value	Count	Frequency (%)
e	703	20.1%
r	482	13.8%
g	409	11.7%
a	293	8.4%
s	189	5.4%
i	189	5.4%
t	167	4.8%
l	167	4.8%
D	126	3.6%
A	95	2.7%
Other values (8)	679	19.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3017	86.2%
Uppercase Letter	388	11.1%
Space Separator	94	2.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	703	23.3%
r	482	16.0%
g	409	13.6%
a	293	9.7%
s	189	6.3%
i	189	6.3%
t	167	5.5%
l	167	5.5%
y	94	3.1%
o	94	3.1%
Other values (3)	230	7.6%

Uppercase Letter

Value	Count	Frequency (%)
D	126	32.5%
A	95	24.5%
S	94	24.2%
N	73	18.8%

Space Separator

Value	Count	Frequency (%)
	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3405	97.3%
Common	94	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	703	20.6%
r	482	14.2%
g	409	12.0%
a	293	8.6%
s	189	5.6%
i	189	5.6%
t	167	4.9%
l	167	4.9%
D	126	3.7%
A	95	2.8%
Other values (7)	585	17.2%

Common

Value	Count	Frequency (%)
	94	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	703	20.1%
r	482	13.8%
g	409	11.7%
a	293	8.4%
s	189	5.4%
i	189	5.4%
t	167	4.8%
l	167	4.8%
D	126	3.6%
A	95	2.7%
Other values (8)	679	19.4%

Unaffordable
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	153
Strongly disagree	82
Agree	63
Neutral	62
Strongly agree	28

Length

Max length	17
Median length	14
Mean length	9.68814433
Min length	5

Characters and Unicode

Total characters	3759
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly agree
3rd row	Agree
4th row	Neutral
5th row	Disagree

Common Values

Value	Count	Frequency (%)
Disagree	153	39.4%
Strongly disagree	82	21.1%
Agree	63	16.2%
Neutral	62	16.0%
Strongly agree	28	7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
disagree	235	47.2%
strongly	110	22.1%
agree	91	18.3%
neutral	62	12.4%

Most occurring characters

Value	Count	Frequency (%)
e	714	19.0%
r	498	13.2%
g	436	11.6%
a	325	8.6%
s	235	6.3%
i	235	6.3%
l	172	4.6%
t	172	4.6%
D	153	4.1%
	110	2.9%
Other values (8)	709	18.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3261	86.8%
Uppercase Letter	388	10.3%
Space Separator	110	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	714	21.9%
r	498	15.3%
g	436	13.4%
a	325	10.0%
s	235	7.2%
i	235	7.2%
l	172	5.3%
t	172	5.3%
y	110	3.4%
o	110	3.4%
Other values (3)	254	7.8%

Uppercase Letter

Value	Count	Frequency (%)
D	153	39.4%
S	110	28.4%
A	63	16.2%
N	62	16.0%

Space Separator

Value	Count	Frequency (%)
	110	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3649	97.1%
Common	110	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	714	19.6%
r	498	13.6%
g	436	11.9%
a	325	8.9%
s	235	6.4%
i	235	6.4%
l	172	4.7%
t	172	4.7%
D	153	4.2%
y	110	3.0%
Other values (7)	599	16.4%

Common

Value	Count	Frequency (%)
	110	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3759	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	714	19.0%
r	498	13.2%
g	436	11.6%
a	325	8.6%
s	235	6.3%
i	235	6.3%
l	172	4.6%
t	172	4.6%
D	153	4.1%
	110	2.9%
Other values (8)	709	18.9%

Long delivery time
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	185
Disagree	108
Neutral	46
Strongly agree	42
Strongly disagree	7

Length

Max length	17
Median length	14
Mean length	7.262886598
Min length	5

Characters and Unicode

Total characters	2818
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly agree
3rd row	Agree
4th row	Agree
5th row	Strongly agree

Common Values

Value	Count	Frequency (%)
Agree	185	47.7%
Disagree	108	27.8%
Neutral	46	11.9%
Strongly agree	42	10.8%
Strongly disagree	7	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	227	51.9%
disagree	115	26.3%
strongly	49	11.2%
neutral	46	10.5%

Most occurring characters

Value	Count	Frequency (%)
e	730	25.9%
r	437	15.5%
g	391	13.9%
a	203	7.2%
A	185	6.6%
i	115	4.1%
s	115	4.1%
D	108	3.8%
t	95	3.4%
l	95	3.4%
Other values (8)	344	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2381	84.5%
Uppercase Letter	388	13.8%
Space Separator	49	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	730	30.7%
r	437	18.4%
g	391	16.4%
a	203	8.5%
i	115	4.8%
s	115	4.8%
t	95	4.0%
l	95	4.0%
y	49	2.1%
o	49	2.1%
Other values (3)	102	4.3%

Uppercase Letter

Value	Count	Frequency (%)
A	185	47.7%
D	108	27.8%
S	49	12.6%
N	46	11.9%

Space Separator

Value	Count	Frequency (%)
	49	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2769	98.3%
Common	49	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	730	26.4%
r	437	15.8%
g	391	14.1%
a	203	7.3%
A	185	6.7%
i	115	4.2%
s	115	4.2%
D	108	3.9%
t	95	3.4%
l	95	3.4%
Other values (7)	295	10.7%

Common

Value	Count	Frequency (%)
	49	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2818	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	730	25.9%
r	437	15.5%
g	391	13.9%
a	203	7.2%
A	185	6.6%
i	115	4.1%
s	115	4.1%
D	108	3.8%
t	95	3.4%
l	95	3.4%
Other values (8)	344	12.2%

Delay of delivery person getting assigned
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	142
Neutral	104
Disagree	68
Strongly agree	56
Strongly disagree	18

Length

Max length	17
Median length	14
Mean length	7.917525773
Min length	5

Characters and Unicode

Total characters	3072
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly agree
3rd row	Agree
4th row	Agree
5th row	Strongly agree

Common Values

Value	Count	Frequency (%)
Agree	142	36.6%
Neutral	104	26.8%
Disagree	68	17.5%
Strongly agree	56	14.4%
Strongly disagree	18	4.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	198	42.9%
neutral	104	22.5%
disagree	86	18.6%
strongly	74	16.0%

Most occurring characters

Value	Count	Frequency (%)
e	672	21.9%
r	462	15.0%
g	358	11.7%
a	246	8.0%
t	178	5.8%
l	178	5.8%
A	142	4.6%
N	104	3.4%
u	104	3.4%
i	86	2.8%
Other values (8)	542	17.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2610	85.0%
Uppercase Letter	388	12.6%
Space Separator	74	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	672	25.7%
r	462	17.7%
g	358	13.7%
a	246	9.4%
t	178	6.8%
l	178	6.8%
u	104	4.0%
i	86	3.3%
s	86	3.3%
o	74	2.8%
Other values (3)	166	6.4%

Uppercase Letter

Value	Count	Frequency (%)
A	142	36.6%
N	104	26.8%
S	74	19.1%
D	68	17.5%

Space Separator

Value	Count	Frequency (%)
	74	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2998	97.6%
Common	74	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	672	22.4%
r	462	15.4%
g	358	11.9%
a	246	8.2%
t	178	5.9%
l	178	5.9%
A	142	4.7%
N	104	3.5%
u	104	3.5%
i	86	2.9%
Other values (7)	468	15.6%

Common

Value	Count	Frequency (%)
	74	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	672	21.9%
r	462	15.0%
g	358	11.7%
a	246	8.0%
t	178	5.8%
l	178	5.8%
A	142	4.6%
N	104	3.4%
u	104	3.4%
i	86	2.8%
Other values (8)	542	17.6%

Delay of delivery person picking up food
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	189
Neutral	78
Disagree	61
Strongly agree	44
Strongly disagree	16

Length

Max length	17
Median length	14
Mean length	7.389175258
Min length	5

Characters and Unicode

Total characters	2867
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly agree
3rd row	Agree
4th row	Agree
5th row	Neutral

Common Values

Value	Count	Frequency (%)
Agree	189	48.7%
Neutral	78	20.1%
Disagree	61	15.7%
Strongly agree	44	11.3%
Strongly disagree	16	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	233	52.0%
neutral	78	17.4%
disagree	77	17.2%
strongly	60	13.4%

Most occurring characters

Value	Count	Frequency (%)
e	698	24.3%
r	448	15.6%
g	370	12.9%
a	199	6.9%
A	189	6.6%
t	138	4.8%
l	138	4.8%
N	78	2.7%
u	78	2.7%
s	77	2.7%
Other values (8)	454	15.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2419	84.4%
Uppercase Letter	388	13.5%
Space Separator	60	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	698	28.9%
r	448	18.5%
g	370	15.3%
a	199	8.2%
t	138	5.7%
l	138	5.7%
u	78	3.2%
s	77	3.2%
i	77	3.2%
o	60	2.5%
Other values (3)	136	5.6%

Uppercase Letter

Value	Count	Frequency (%)
A	189	48.7%
N	78	20.1%
D	61	15.7%
S	60	15.5%

Space Separator

Value	Count	Frequency (%)
	60	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2807	97.9%
Common	60	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	698	24.9%
r	448	16.0%
g	370	13.2%
a	199	7.1%
A	189	6.7%
t	138	4.9%
l	138	4.9%
N	78	2.8%
u	78	2.8%
s	77	2.7%
Other values (7)	394	14.0%

Common

Value	Count	Frequency (%)
	60	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2867	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	698	24.3%
r	448	15.6%
g	370	12.9%
a	199	6.9%
A	189	6.6%
t	138	4.8%
l	138	4.8%
N	78	2.7%
u	78	2.7%
s	77	2.7%
Other values (8)	454	15.8%

Wrong order delivered
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	129
Agree	91
Neutral	65
Strongly agree	53
Strongly disagree	50

Length

Max length	17
Median length	14
Mean length	9.108247423
Min length	5

Characters and Unicode

Total characters	3534
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly agree
3rd row	Strongly agree
4th row	Disagree
5th row	Neutral

Common Values

Value	Count	Frequency (%)
Disagree	129	33.2%
Agree	91	23.5%
Neutral	65	16.8%
Strongly agree	53	13.7%
Strongly disagree	50	12.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
disagree	179	36.5%
agree	144	29.3%
strongly	103	21.0%
neutral	65	13.2%

Most occurring characters

Value	Count	Frequency (%)
e	711	20.1%
r	491	13.9%
g	426	12.1%
a	297	8.4%
s	179	5.1%
i	179	5.1%
t	168	4.8%
l	168	4.8%
D	129	3.7%
y	103	2.9%
Other values (8)	683	19.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3043	86.1%
Uppercase Letter	388	11.0%
Space Separator	103	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	711	23.4%
r	491	16.1%
g	426	14.0%
a	297	9.8%
s	179	5.9%
i	179	5.9%
t	168	5.5%
l	168	5.5%
y	103	3.4%
o	103	3.4%
Other values (3)	218	7.2%

Uppercase Letter

Value	Count	Frequency (%)
D	129	33.2%
S	103	26.5%
A	91	23.5%
N	65	16.8%

Space Separator

Value	Count	Frequency (%)
	103	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3431	97.1%
Common	103	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	711	20.7%
r	491	14.3%
g	426	12.4%
a	297	8.7%
s	179	5.2%
i	179	5.2%
t	168	4.9%
l	168	4.9%
D	129	3.8%
y	103	3.0%
Other values (7)	580	16.9%

Common

Value	Count	Frequency (%)
	103	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3534	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	711	20.1%
r	491	13.9%
g	426	12.1%
a	297	8.4%
s	179	5.1%
i	179	5.1%
t	168	4.8%
l	168	4.8%
D	129	3.7%
y	103	2.9%
Other values (8)	683	19.3%

Missing item
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	138
Agree	74
Strongly agree	66
Neutral	62
Strongly disagree	48

Length

Max length	17
Median length	14
Mean length	9.402061856
Min length	5

Characters and Unicode

Total characters	3648
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly agree
3rd row	Agree
4th row	Disagree
5th row	Neutral

Common Values

Value	Count	Frequency (%)
Disagree	138	35.6%
Agree	74	19.1%
Strongly agree	66	17.0%
Neutral	62	16.0%
Strongly disagree	48	12.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
disagree	186	37.1%
agree	140	27.9%
strongly	114	22.7%
neutral	62	12.4%

Most occurring characters

Value	Count	Frequency (%)
e	714	19.6%
r	502	13.8%
g	440	12.1%
a	314	8.6%
i	186	5.1%
s	186	5.1%
t	176	4.8%
l	176	4.8%
D	138	3.8%
S	114	3.1%
Other values (8)	702	19.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3146	86.2%
Uppercase Letter	388	10.6%
Space Separator	114	3.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	714	22.7%
r	502	16.0%
g	440	14.0%
a	314	10.0%
i	186	5.9%
s	186	5.9%
t	176	5.6%
l	176	5.6%
o	114	3.6%
n	114	3.6%
Other values (3)	224	7.1%

Uppercase Letter

Value	Count	Frequency (%)
D	138	35.6%
S	114	29.4%
A	74	19.1%
N	62	16.0%

Space Separator

Value	Count	Frequency (%)
	114	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3534	96.9%
Common	114	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	714	20.2%
r	502	14.2%
g	440	12.5%
a	314	8.9%
i	186	5.3%
s	186	5.3%
t	176	5.0%
l	176	5.0%
D	138	3.9%
S	114	3.2%
Other values (7)	588	16.6%

Common

Value	Count	Frequency (%)
	114	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3648	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	714	19.6%
r	502	13.8%
g	440	12.1%
a	314	8.6%
i	186	5.1%
s	186	5.1%
t	176	4.8%
l	176	4.8%
D	138	3.8%
S	114	3.1%
Other values (8)	702	19.2%

Order placed by mistake
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Disagree	126
Strongly disagree	87
Agree	69
Neutral	65
Strongly agree	41

Length

Max length	17
Median length	14
Mean length	9.951030928
Min length	5

Characters and Unicode

Total characters	3861
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly agree
3rd row	Neutral
4th row	Neutral
5th row	Disagree

Common Values

Value	Count	Frequency (%)
Disagree	126	32.5%
Strongly disagree	87	22.4%
Agree	69	17.8%
Neutral	65	16.8%
Strongly agree	41	10.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
disagree	213	41.3%
strongly	128	24.8%
agree	110	21.3%
neutral	65	12.6%

Most occurring characters

Value	Count	Frequency (%)
e	711	18.4%
r	516	13.4%
g	451	11.7%
a	319	8.3%
s	213	5.5%
i	213	5.5%
t	193	5.0%
l	193	5.0%
o	128	3.3%
	128	3.3%
Other values (8)	796	20.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3345	86.6%
Uppercase Letter	388	10.0%
Space Separator	128	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	711	21.3%
r	516	15.4%
g	451	13.5%
a	319	9.5%
s	213	6.4%
i	213	6.4%
t	193	5.8%
l	193	5.8%
o	128	3.8%
n	128	3.8%
Other values (3)	280	8.4%

Uppercase Letter

Value	Count	Frequency (%)
S	128	33.0%
D	126	32.5%
A	69	17.8%
N	65	16.8%

Space Separator

Value	Count	Frequency (%)
	128	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3733	96.7%
Common	128	3.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	711	19.0%
r	516	13.8%
g	451	12.1%
a	319	8.5%
s	213	5.7%
i	213	5.7%
t	193	5.2%
l	193	5.2%
o	128	3.4%
S	128	3.4%
Other values (7)	668	17.9%

Common

Value	Count	Frequency (%)
	128	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3861	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	711	18.4%
r	516	13.4%
g	451	11.7%
a	319	8.3%
s	213	5.5%
i	213	5.5%
t	193	5.0%
l	193	5.0%
o	128	3.3%
	128	3.3%
Other values (8)	796	20.6%

Influence of time
Categorical

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Yes	301
No	48
Maybe	39

Length

Max length	5
Median length	3
Mean length	3.077319588
Min length	2

Characters and Unicode

Total characters	1194
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	301	77.6%
No	48	12.4%
Maybe	39	10.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	301	77.6%
no	48	12.4%
maybe	39	10.1%

Most occurring characters

Value	Count	Frequency (%)
e	340	28.5%
Y	301	25.2%
s	301	25.2%
N	48	4.0%
o	48	4.0%
M	39	3.3%
a	39	3.3%
y	39	3.3%
b	39	3.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	806	67.5%
Uppercase Letter	388	32.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	340	42.2%
s	301	37.3%
o	48	6.0%
a	39	4.8%
y	39	4.8%
b	39	4.8%

Uppercase Letter

Value	Count	Frequency (%)
Y	301	77.6%
N	48	12.4%
M	39	10.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1194	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	340	28.5%
Y	301	25.2%
s	301	25.2%
N	48	4.0%
o	48	4.0%
M	39	3.3%
a	39	3.3%
y	39	3.3%
b	39	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1194	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	340	28.5%
Y	301	25.2%
s	301	25.2%
N	48	4.0%
o	48	4.0%
M	39	3.3%
a	39	3.3%
y	39	3.3%
b	39	3.3%

Order Time
Categorical

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Anytime (Mon-Sun)	269
Weekend (Sat & Sun)	102
Weekdays (Mon-Fri)	17

Length

Max length	19
Median length	17
Mean length	17.56958763
Min length	17

Characters and Unicode

Total characters	6817
Distinct characters	23
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Weekend (Sat & Sun)
2nd row	Anytime (Mon-Sun)
3rd row	Anytime (Mon-Sun)
4th row	Anytime (Mon-Sun)
5th row	Weekend (Sat & Sun)

Common Values

Value	Count	Frequency (%)
Anytime (Mon-Sun)	269	69.3%
Weekend (Sat & Sun)	102	26.3%
Weekdays (Mon-Fri)	17	4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
anytime	269	27.4%
mon-sun	269	27.4%
weekend	102	10.4%
sat	102	10.4%
	102	10.4%
sun	102	10.4%
weekdays	17	1.7%
mon-fri	17	1.7%

Most occurring characters

Value	Count	Frequency (%)
n	1028	15.1%
e	609	8.9%
	592	8.7%
S	473	6.9%
)	388	5.7%
(	388	5.7%
u	371	5.4%
t	371	5.4%
-	286	4.2%
y	286	4.2%
Other values (13)	2025	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3897	57.2%
Uppercase Letter	1164	17.1%
Space Separator	592	8.7%
Close Punctuation	388	5.7%
Open Punctuation	388	5.7%
Dash Punctuation	286	4.2%
Other Punctuation	102	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1028	26.4%
e	609	15.6%
u	371	9.5%
t	371	9.5%
y	286	7.3%
i	286	7.3%
o	286	7.3%
m	269	6.9%
k	119	3.1%
d	119	3.1%
Other values (3)	153	3.9%

Uppercase Letter

Value	Count	Frequency (%)
S	473	40.6%
M	286	24.6%
A	269	23.1%
W	119	10.2%
F	17	1.5%

Space Separator

Value	Count	Frequency (%)
	592	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	388	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	388	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	286	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	102	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5061	74.2%
Common	1756	25.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1028	20.3%
e	609	12.0%
S	473	9.3%
u	371	7.3%
t	371	7.3%
y	286	5.7%
i	286	5.7%
M	286	5.7%
o	286	5.7%
A	269	5.3%
Other values (8)	796	15.7%

Common

Value	Count	Frequency (%)
	592	33.7%
)	388	22.1%
(	388	22.1%
-	286	16.3%
&	102	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6817	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1028	15.1%
e	609	8.9%
	592	8.7%
S	473	6.9%
)	388	5.7%
(	388	5.7%
u	371	5.4%
t	371	5.4%
-	286	4.2%
y	286	4.2%
Other values (13)	2025	29.7%

Maximum wait time
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

45 minutes	154
30 minutes	139
15 minutes	40
60 minutes	34
More than 60 minutes	21

Length

Max length	20
Median length	10
Mean length	10.54123711
Min length	10

Characters and Unicode

Total characters	4090
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	30 minutes
2nd row	30 minutes
3rd row	45 minutes
4th row	30 minutes
5th row	30 minutes

Common Values

Value	Count	Frequency (%)
45 minutes	154	39.7%
30 minutes	139	35.8%
15 minutes	40	10.3%
60 minutes	34	8.8%
More than 60 minutes	21	5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
minutes	388	47.4%
45	154	18.8%
30	139	17.0%
60	55	6.7%
15	40	4.9%
more	21	2.6%
than	21	2.6%

Most occurring characters

Value	Count	Frequency (%)
	430	10.5%
n	409	10.0%
t	409	10.0%
e	409	10.0%
s	388	9.5%
m	388	9.5%
i	388	9.5%
u	388	9.5%
0	194	4.7%
5	194	4.7%
Other values (9)	493	12.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2863	70.0%
Decimal Number	776	19.0%
Space Separator	430	10.5%
Uppercase Letter	21	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	409	14.3%
t	409	14.3%
e	409	14.3%
s	388	13.6%
m	388	13.6%
i	388	13.6%
u	388	13.6%
o	21	0.7%
r	21	0.7%
h	21	0.7%

Decimal Number

Value	Count	Frequency (%)
0	194	25.0%
5	194	25.0%
4	154	19.8%
3	139	17.9%
6	55	7.1%
1	40	5.2%

Space Separator

Value	Count	Frequency (%)
	430	100.0%

Uppercase Letter

Value	Count	Frequency (%)
M	21	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2884	70.5%
Common	1206	29.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	409	14.2%
t	409	14.2%
e	409	14.2%
s	388	13.5%
m	388	13.5%
i	388	13.5%
u	388	13.5%
M	21	0.7%
o	21	0.7%
r	21	0.7%
Other values (2)	42	1.5%

Common

Value	Count	Frequency (%)
	430	35.7%
0	194	16.1%
5	194	16.1%
4	154	12.8%
3	139	11.5%
6	55	4.6%
1	40	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	430	10.5%
n	409	10.0%
t	409	10.0%
e	409	10.0%
s	388	9.5%
m	388	9.5%
i	388	9.5%
u	388	9.5%
0	194	4.7%
5	194	4.7%
Other values (9)	493	12.1%

Residence in busy location
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	266
Neutral	50
Disagree	35
Strongly Agree	28
Strongly disagree	9

Length

Max length	17
Median length	5
Mean length	6.456185567
Min length	5

Characters and Unicode

Total characters	2505
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree
2nd row	Strongly Agree
3rd row	Agree
4th row	Disagree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	266	68.6%
Neutral	50	12.9%
Disagree	35	9.0%
Strongly Agree	28	7.2%
Strongly disagree	9	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	294	69.2%
neutral	50	11.8%
disagree	44	10.4%
strongly	37	8.7%

Most occurring characters

Value	Count	Frequency (%)
e	726	29.0%
r	425	17.0%
g	375	15.0%
A	294	11.7%
a	94	3.8%
t	87	3.5%
l	87	3.5%
N	50	2.0%
u	50	2.0%
i	44	1.8%
Other values (8)	273	10.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2052	81.9%
Uppercase Letter	416	16.6%
Space Separator	37	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	726	35.4%
r	425	20.7%
g	375	18.3%
a	94	4.6%
t	87	4.2%
l	87	4.2%
u	50	2.4%
i	44	2.1%
s	44	2.1%
o	37	1.8%
Other values (3)	83	4.0%

Uppercase Letter

Value	Count	Frequency (%)
A	294	70.7%
N	50	12.0%
S	37	8.9%
D	35	8.4%

Space Separator

Value	Count	Frequency (%)
	37	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2468	98.5%
Common	37	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	726	29.4%
r	425	17.2%
g	375	15.2%
A	294	11.9%
a	94	3.8%
t	87	3.5%
l	87	3.5%
N	50	2.0%
u	50	2.0%
i	44	1.8%
Other values (7)	236	9.6%

Common

Value	Count	Frequency (%)
	37	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2505	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	726	29.0%
r	425	17.0%
g	375	15.0%
A	294	11.7%
a	94	3.8%
t	87	3.5%
l	87	3.5%
N	50	2.0%
u	50	2.0%
i	44	1.8%
Other values (8)	273	10.9%

Google Maps Accuracy
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	137
Strongly Agree	119
Neutral	91
Disagree	33
Strongly disagree	8

Length

Max length	17
Median length	14
Mean length	8.731958763
Min length	5

Characters and Unicode

Total characters	3388
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Neutral
3rd row	Strongly Agree
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	137	35.3%
Strongly Agree	119	30.7%
Neutral	91	23.5%
Disagree	33	8.5%
Strongly disagree	8	2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	256	49.7%
strongly	127	24.7%
neutral	91	17.7%
disagree	41	8.0%

Most occurring characters

Value	Count	Frequency (%)
e	685	20.2%
r	515	15.2%
g	424	12.5%
A	256	7.6%
l	218	6.4%
t	218	6.4%
a	132	3.9%
	127	3.7%
y	127	3.7%
n	127	3.7%
Other values (8)	559	16.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2754	81.3%
Uppercase Letter	507	15.0%
Space Separator	127	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	685	24.9%
r	515	18.7%
g	424	15.4%
l	218	7.9%
t	218	7.9%
a	132	4.8%
y	127	4.6%
n	127	4.6%
o	127	4.6%
u	91	3.3%
Other values (3)	90	3.3%

Uppercase Letter

Value	Count	Frequency (%)
A	256	50.5%
S	127	25.0%
N	91	17.9%
D	33	6.5%

Space Separator

Value	Count	Frequency (%)
	127	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3261	96.3%
Common	127	3.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	685	21.0%
r	515	15.8%
g	424	13.0%
A	256	7.9%
l	218	6.7%
t	218	6.7%
a	132	4.0%
y	127	3.9%
n	127	3.9%
o	127	3.9%
Other values (7)	432	13.2%

Common

Value	Count	Frequency (%)
	127	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3388	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	685	20.2%
r	515	15.2%
g	424	12.5%
A	256	7.6%
l	218	6.4%
t	218	6.4%
a	132	3.9%
	127	3.7%
y	127	3.7%
n	127	3.7%
Other values (8)	559	16.5%

Good Road Condition
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	177
Strongly Agree	87
Neutral	76
Disagree	41
Strongly disagree	7

Length

Max length	17
Median length	14
Mean length	7.943298969
Min length	5

Characters and Unicode

Total characters	3082
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Disagree
3rd row	Neutral
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	177	45.6%
Strongly Agree	87	22.4%
Neutral	76	19.6%
Disagree	41	10.6%
Strongly disagree	7	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	264	54.8%
strongly	94	19.5%
neutral	76	15.8%
disagree	48	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	700	22.7%
r	482	15.6%
g	406	13.2%
A	264	8.6%
l	170	5.5%
t	170	5.5%
a	124	4.0%
	94	3.0%
y	94	3.0%
n	94	3.0%
Other values (8)	484	15.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2513	81.5%
Uppercase Letter	475	15.4%
Space Separator	94	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	700	27.9%
r	482	19.2%
g	406	16.2%
l	170	6.8%
t	170	6.8%
a	124	4.9%
y	94	3.7%
n	94	3.7%
o	94	3.7%
u	76	3.0%
Other values (3)	103	4.1%

Uppercase Letter

Value	Count	Frequency (%)
A	264	55.6%
S	94	19.8%
N	76	16.0%
D	41	8.6%

Space Separator

Value	Count	Frequency (%)
	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2988	97.0%
Common	94	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	700	23.4%
r	482	16.1%
g	406	13.6%
A	264	8.8%
l	170	5.7%
t	170	5.7%
a	124	4.1%
y	94	3.1%
n	94	3.1%
o	94	3.1%
Other values (7)	390	13.1%

Common

Value	Count	Frequency (%)
	94	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3082	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	700	22.7%
r	482	15.6%
g	406	13.2%
A	264	8.6%
l	170	5.5%
t	170	5.5%
a	124	4.0%
	94	3.0%
y	94	3.0%
n	94	3.0%
Other values (8)	484	15.7%

Low quantity low time
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	169
Neutral	97
Disagree	61
Strongly Agree	34
Strongly disagree	27

Length

Max length	17
Median length	14
Mean length	7.595360825
Min length	5

Characters and Unicode

Total characters	2947
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Strongly disagree
3rd row	Neutral
4th row	Neutral
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	169	43.6%
Neutral	97	25.0%
Disagree	61	15.7%
Strongly Agree	34	8.8%
Strongly disagree	27	7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	203	45.2%
neutral	97	21.6%
disagree	88	19.6%
strongly	61	13.6%

Most occurring characters

Value	Count	Frequency (%)
e	679	23.0%
r	449	15.2%
g	352	11.9%
A	203	6.9%
a	185	6.3%
t	158	5.4%
l	158	5.4%
N	97	3.3%
u	97	3.3%
i	88	3.0%
Other values (8)	481	16.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2464	83.6%
Uppercase Letter	422	14.3%
Space Separator	61	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	679	27.6%
r	449	18.2%
g	352	14.3%
a	185	7.5%
t	158	6.4%
l	158	6.4%
u	97	3.9%
i	88	3.6%
s	88	3.6%
n	61	2.5%
Other values (3)	149	6.0%

Uppercase Letter

Value	Count	Frequency (%)
A	203	48.1%
N	97	23.0%
D	61	14.5%
S	61	14.5%

Space Separator

Value	Count	Frequency (%)
	61	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2886	97.9%
Common	61	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	679	23.5%
r	449	15.6%
g	352	12.2%
A	203	7.0%
a	185	6.4%
t	158	5.5%
l	158	5.5%
N	97	3.4%
u	97	3.4%
i	88	3.0%
Other values (7)	420	14.6%

Common

Value	Count	Frequency (%)
	61	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	679	23.0%
r	449	15.2%
g	352	11.9%
A	203	6.9%
a	185	6.3%
t	158	5.4%
l	158	5.4%
N	97	3.3%
u	97	3.3%
i	88	3.0%
Other values (8)	481	16.3%

Delivery person ability
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Agree	163
Strongly Agree	87
Neutral	80
Disagree	52
Strongly disagree	6

Length

Max length	17
Median length	14
Mean length	8.018041237
Min length	5

Characters and Unicode

Total characters	3111
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutral
2nd row	Agree
3rd row	Agree
4th row	Agree
5th row	Agree

Common Values

Value	Count	Frequency (%)
Agree	163	42.0%
Strongly Agree	87	22.4%
Neutral	80	20.6%
Disagree	52	13.4%
Strongly disagree	6	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	250	52.0%
strongly	93	19.3%
neutral	80	16.6%
disagree	58	12.1%

Most occurring characters

Value	Count	Frequency (%)
e	696	22.4%
r	481	15.5%
g	401	12.9%
A	250	8.0%
l	173	5.6%
t	173	5.6%
a	138	4.4%
	93	3.0%
y	93	3.0%
n	93	3.0%
Other values (8)	520	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2543	81.7%
Uppercase Letter	475	15.3%
Space Separator	93	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	696	27.4%
r	481	18.9%
g	401	15.8%
l	173	6.8%
t	173	6.8%
a	138	5.4%
y	93	3.7%
n	93	3.7%
o	93	3.7%
u	80	3.1%
Other values (3)	122	4.8%

Uppercase Letter

Value	Count	Frequency (%)
A	250	52.6%
S	93	19.6%
N	80	16.8%
D	52	10.9%

Space Separator

Value	Count	Frequency (%)
	93	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3018	97.0%
Common	93	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	696	23.1%
r	481	15.9%
g	401	13.3%
A	250	8.3%
l	173	5.7%
t	173	5.7%
a	138	4.6%
y	93	3.1%
n	93	3.1%
o	93	3.1%
Other values (7)	427	14.1%

Common

Value	Count	Frequency (%)
	93	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3111	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	696	22.4%
r	481	15.5%
g	401	12.9%
A	250	8.0%
l	173	5.6%
t	173	5.6%
a	138	4.4%
	93	3.0%
y	93	3.0%
n	93	3.0%
Other values (8)	520	16.7%

Influence of rating
Categorical

Distinct	3
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Yes	286
No	53
Maybe	49

Length

Max length	5
Median length	3
Mean length	3.115979381
Min length	2

Characters and Unicode

Total characters	1209
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	286	73.7%
No	53	13.7%
Maybe	49	12.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	286	73.7%
no	53	13.7%
maybe	49	12.6%

Most occurring characters

Value	Count	Frequency (%)
e	335	27.7%
Y	286	23.7%
s	286	23.7%
N	53	4.4%
o	53	4.4%
M	49	4.1%
a	49	4.1%
y	49	4.1%
b	49	4.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	821	67.9%
Uppercase Letter	388	32.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	335	40.8%
s	286	34.8%
o	53	6.5%
a	49	6.0%
y	49	6.0%
b	49	6.0%

Uppercase Letter

Value	Count	Frequency (%)
Y	286	73.7%
N	53	13.7%
M	49	12.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1209	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	335	27.7%
Y	286	23.7%
s	286	23.7%
N	53	4.4%
o	53	4.4%
M	49	4.1%
a	49	4.1%
y	49	4.1%
b	49	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1209	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	335	27.7%
Y	286	23.7%
s	286	23.7%
N	53	4.4%
o	53	4.4%
M	49	4.1%
a	49	4.1%
y	49	4.1%
b	49	4.1%

Less Delivery time
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Important	248
Very Important	56
Moderately Important	45
Slightly Important	34
Unimportant	5

Length

Max length	20
Median length	9
Mean length	11.81185567
Min length	9

Characters and Unicode

Total characters	4583
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Important
4th row	Very Important
5th row	Important

Common Values

Value	Count	Frequency (%)
Important	248	63.9%
Very Important	56	14.4%
Moderately Important	45	11.6%
Slightly Important	34	8.8%
Unimportant	5	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	383	73.2%
very	56	10.7%
moderately	45	8.6%
slightly	34	6.5%
unimportant	5	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	855	18.7%
r	489	10.7%
o	433	9.4%
a	433	9.4%
n	393	8.6%
m	388	8.5%
p	388	8.5%
I	383	8.4%
e	146	3.2%
	135	2.9%
Other values (10)	540	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3925	85.6%
Uppercase Letter	523	11.4%
Space Separator	135	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	855	21.8%
r	489	12.5%
o	433	11.0%
a	433	11.0%
n	393	10.0%
m	388	9.9%
p	388	9.9%
e	146	3.7%
y	135	3.4%
l	113	2.9%
Other values (4)	152	3.9%

Uppercase Letter

Value	Count	Frequency (%)
I	383	73.2%
V	56	10.7%
M	45	8.6%
S	34	6.5%
U	5	1.0%

Space Separator

Value	Count	Frequency (%)
	135	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4448	97.1%
Common	135	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	855	19.2%
r	489	11.0%
o	433	9.7%
a	433	9.7%
n	393	8.8%
m	388	8.7%
p	388	8.7%
I	383	8.6%
e	146	3.3%
y	135	3.0%
Other values (9)	405	9.1%

Common

Value	Count	Frequency (%)
	135	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4583	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	855	18.7%
r	489	10.7%
o	433	9.4%
a	433	9.4%
n	393	8.6%
m	388	8.5%
p	388	8.5%
I	383	8.4%
e	146	3.2%
	135	2.9%
Other values (10)	540	11.8%

High Quality of package
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Important	152
Very Important	126
Moderately Important	77
Slightly Important	27
Unimportant	6

Length

Max length	20
Median length	18
Mean length	13.46391753
Min length	9

Characters and Unicode

Total characters	5224
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Very Important
4th row	Important
5th row	Important

Common Values

Value	Count	Frequency (%)
Important	152	39.2%
Very Important	126	32.5%
Moderately Important	77	19.8%
Slightly Important	27	7.0%
Unimportant	6	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	382	61.8%
very	126	20.4%
moderately	77	12.5%
slightly	27	4.4%
unimportant	6	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	880	16.8%
r	591	11.3%
o	465	8.9%
a	465	8.9%
n	394	7.5%
m	388	7.4%
p	388	7.4%
I	382	7.3%
e	280	5.4%
	230	4.4%
Other values (10)	761	14.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4376	83.8%
Uppercase Letter	618	11.8%
Space Separator	230	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	880	20.1%
r	591	13.5%
o	465	10.6%
a	465	10.6%
n	394	9.0%
m	388	8.9%
p	388	8.9%
e	280	6.4%
y	230	5.3%
l	131	3.0%
Other values (4)	164	3.7%

Uppercase Letter

Value	Count	Frequency (%)
I	382	61.8%
V	126	20.4%
M	77	12.5%
S	27	4.4%
U	6	1.0%

Space Separator

Value	Count	Frequency (%)
	230	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4994	95.6%
Common	230	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	880	17.6%
r	591	11.8%
o	465	9.3%
a	465	9.3%
n	394	7.9%
m	388	7.8%
p	388	7.8%
I	382	7.6%
e	280	5.6%
y	230	4.6%
Other values (9)	531	10.6%

Common

Value	Count	Frequency (%)
	230	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5224	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	880	16.8%
r	591	11.3%
o	465	8.9%
a	465	8.9%
n	394	7.5%
m	388	7.4%
p	388	7.4%
I	382	7.3%
e	280	5.4%
	230	4.4%
Other values (10)	761	14.6%

Number of calls
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Important	133
Very Important	94
Moderately Important	88
Slightly Important	54
Unimportant	19

Length

Max length	20
Median length	18
Mean length	14.05670103
Min length	9

Characters and Unicode

Total characters	5454
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Moderately Important
4th row	Moderately Important
5th row	Moderately Important

Common Values

Value	Count	Frequency (%)
Important	133	34.3%
Very Important	94	24.2%
Moderately Important	88	22.7%
Slightly Important	54	13.9%
Unimportant	19	4.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	369	59.1%
very	94	15.1%
moderately	88	14.1%
slightly	54	8.7%
unimportant	19	3.0%

Most occurring characters

Value	Count	Frequency (%)
t	918	16.8%
r	570	10.5%
o	476	8.7%
a	476	8.7%
n	407	7.5%
m	388	7.1%
p	388	7.1%
I	369	6.8%
e	270	5.0%
	236	4.3%
Other values (10)	956	17.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4594	84.2%
Uppercase Letter	624	11.4%
Space Separator	236	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	918	20.0%
r	570	12.4%
o	476	10.4%
a	476	10.4%
n	407	8.9%
m	388	8.4%
p	388	8.4%
e	270	5.9%
y	236	5.1%
l	196	4.3%
Other values (4)	269	5.9%

Uppercase Letter

Value	Count	Frequency (%)
I	369	59.1%
V	94	15.1%
M	88	14.1%
S	54	8.7%
U	19	3.0%

Space Separator

Value	Count	Frequency (%)
	236	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5218	95.7%
Common	236	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	918	17.6%
r	570	10.9%
o	476	9.1%
a	476	9.1%
n	407	7.8%
m	388	7.4%
p	388	7.4%
I	369	7.1%
e	270	5.2%
y	236	4.5%
Other values (9)	720	13.8%

Common

Value	Count	Frequency (%)
	236	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5454	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	918	16.8%
r	570	10.5%
o	476	8.7%
a	476	8.7%
n	407	7.5%
m	388	7.1%
p	388	7.1%
I	369	6.8%
e	270	5.0%
	236	4.3%
Other values (10)	956	17.5%

Politeness
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Important	155
Very Important	119
Moderately Important	63
Slightly Important	45
Unimportant	6

Length

Max length	20
Median length	18
Mean length	13.3943299
Min length	9

Characters and Unicode

Total characters	5197
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Very Important
4th row	Very Important
5th row	Important

Common Values

Value	Count	Frequency (%)
Important	155	39.9%
Very Important	119	30.7%
Moderately Important	63	16.2%
Slightly Important	45	11.6%
Unimportant	6	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	382	62.1%
very	119	19.3%
moderately	63	10.2%
slightly	45	7.3%
unimportant	6	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	884	17.0%
r	570	11.0%
o	451	8.7%
a	451	8.7%
n	394	7.6%
m	388	7.5%
p	388	7.5%
I	382	7.4%
e	245	4.7%
	227	4.4%
Other values (10)	817	15.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4355	83.8%
Uppercase Letter	615	11.8%
Space Separator	227	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	884	20.3%
r	570	13.1%
o	451	10.4%
a	451	10.4%
n	394	9.0%
m	388	8.9%
p	388	8.9%
e	245	5.6%
y	227	5.2%
l	153	3.5%
Other values (4)	204	4.7%

Uppercase Letter

Value	Count	Frequency (%)
I	382	62.1%
V	119	19.3%
M	63	10.2%
S	45	7.3%
U	6	1.0%

Space Separator

Value	Count	Frequency (%)
	227	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4970	95.6%
Common	227	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	884	17.8%
r	570	11.5%
o	451	9.1%
a	451	9.1%
n	394	7.9%
m	388	7.8%
p	388	7.8%
I	382	7.7%
e	245	4.9%
y	227	4.6%
Other values (9)	590	11.9%

Common

Value	Count	Frequency (%)
	227	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5197	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	884	17.0%
r	570	11.0%
o	451	8.7%
a	451	8.7%
n	394	7.6%
m	388	7.5%
p	388	7.5%
I	382	7.4%
e	245	4.7%
	227	4.4%
Other values (10)	817	15.7%

Freshness
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Very Important	137
Important	128
Slightly Important	60
Moderately Important	58
Unimportant	5

Length

Max length	20
Median length	18
Mean length	13.82731959
Min length	9

Characters and Unicode

Total characters	5365
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Very Important
4th row	Very Important
5th row	Important

Common Values

Value	Count	Frequency (%)
Very Important	137	35.3%
Important	128	33.0%
Slightly Important	60	15.5%
Moderately Important	58	14.9%
Unimportant	5	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	383	59.6%
very	137	21.3%
slightly	60	9.3%
moderately	58	9.0%
unimportant	5	0.8%

Most occurring characters

Value	Count	Frequency (%)
t	894	16.7%
r	583	10.9%
a	446	8.3%
o	446	8.3%
n	393	7.3%
m	388	7.2%
p	388	7.2%
I	383	7.1%
y	255	4.8%
	255	4.8%
Other values (10)	934	17.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4467	83.3%
Uppercase Letter	643	12.0%
Space Separator	255	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	894	20.0%
r	583	13.1%
a	446	10.0%
o	446	10.0%
n	393	8.8%
m	388	8.7%
p	388	8.7%
y	255	5.7%
e	253	5.7%
l	178	4.0%
Other values (4)	243	5.4%

Uppercase Letter

Value	Count	Frequency (%)
I	383	59.6%
V	137	21.3%
S	60	9.3%
M	58	9.0%
U	5	0.8%

Space Separator

Value	Count	Frequency (%)
	255	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5110	95.2%
Common	255	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	894	17.5%
r	583	11.4%
a	446	8.7%
o	446	8.7%
n	393	7.7%
m	388	7.6%
p	388	7.6%
I	383	7.5%
y	255	5.0%
e	253	5.0%
Other values (9)	681	13.3%

Common

Value	Count	Frequency (%)
	255	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5365	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	894	16.7%
r	583	10.9%
a	446	8.3%
o	446	8.3%
n	393	7.3%
m	388	7.2%
p	388	7.2%
I	383	7.1%
y	255	4.8%
	255	4.8%
Other values (10)	934	17.4%

Temperature
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Important	148
Very Important	126
Moderately Important	88
Slightly Important	24
Unimportant	2

Length

Max length	20
Median length	18
Mean length	13.68556701
Min length	9

Characters and Unicode

Total characters	5310
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Important
4th row	Very Important
5th row	Important

Common Values

Value	Count	Frequency (%)
Important	148	38.1%
Very Important	126	32.5%
Moderately Important	88	22.7%
Slightly Important	24	6.2%
Unimportant	2	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	386	61.7%
very	126	20.1%
moderately	88	14.1%
slightly	24	3.8%
unimportant	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
t	888	16.7%
r	602	11.3%
o	476	9.0%
a	476	9.0%
n	390	7.3%
m	388	7.3%
p	388	7.3%
I	386	7.3%
e	302	5.7%
	238	4.5%
Other values (10)	776	14.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4446	83.7%
Uppercase Letter	626	11.8%
Space Separator	238	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	888	20.0%
r	602	13.5%
o	476	10.7%
a	476	10.7%
n	390	8.8%
m	388	8.7%
p	388	8.7%
e	302	6.8%
y	238	5.4%
l	136	3.1%
Other values (4)	162	3.6%

Uppercase Letter

Value	Count	Frequency (%)
I	386	61.7%
V	126	20.1%
M	88	14.1%
S	24	3.8%
U	2	0.3%

Space Separator

Value	Count	Frequency (%)
	238	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5072	95.5%
Common	238	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	888	17.5%
r	602	11.9%
o	476	9.4%
a	476	9.4%
n	390	7.7%
m	388	7.6%
p	388	7.6%
I	386	7.6%
e	302	6.0%
y	238	4.7%
Other values (9)	538	10.6%

Common

Value	Count	Frequency (%)
	238	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	888	16.7%
r	602	11.3%
o	476	9.0%
a	476	9.0%
n	390	7.3%
m	388	7.3%
p	388	7.3%
I	386	7.3%
e	302	5.7%
	238	4.5%
Other values (10)	776	14.6%

Good Taste
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Very Important	178
Important	154
Moderately Important	39
Slightly Important	11
Unimportant	6

Length

Max length	20
Median length	18
Mean length	12.68556701
Min length	9

Characters and Unicode

Total characters	4922
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Very Important
4th row	Very Important
5th row	Very Important

Common Values

Value	Count	Frequency (%)
Very Important	178	45.9%
Important	154	39.7%
Moderately Important	39	10.1%
Slightly Important	11	2.8%
Unimportant	6	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	382	62.0%
very	178	28.9%
moderately	39	6.3%
slightly	11	1.8%
unimportant	6	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	826	16.8%
r	605	12.3%
a	427	8.7%
o	427	8.7%
n	394	8.0%
m	388	7.9%
p	388	7.9%
I	382	7.8%
e	256	5.2%
y	228	4.6%
Other values (10)	601	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4078	82.9%
Uppercase Letter	616	12.5%
Space Separator	228	4.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	826	20.3%
r	605	14.8%
a	427	10.5%
o	427	10.5%
n	394	9.7%
m	388	9.5%
p	388	9.5%
e	256	6.3%
y	228	5.6%
l	61	1.5%
Other values (4)	78	1.9%

Uppercase Letter

Value	Count	Frequency (%)
I	382	62.0%
V	178	28.9%
M	39	6.3%
S	11	1.8%
U	6	1.0%

Space Separator

Value	Count	Frequency (%)
	228	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4694	95.4%
Common	228	4.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	826	17.6%
r	605	12.9%
a	427	9.1%
o	427	9.1%
n	394	8.4%
m	388	8.3%
p	388	8.3%
I	382	8.1%
e	256	5.5%
y	228	4.9%
Other values (9)	373	7.9%

Common

Value	Count	Frequency (%)
	228	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4922	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	826	16.8%
r	605	12.3%
a	427	8.7%
o	427	8.7%
n	394	8.0%
m	388	7.9%
p	388	7.9%
I	382	7.8%
e	256	5.2%
y	228	4.6%
Other values (10)	601	12.2%

Good Quantity
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

Very Important	174
Important	153
Moderately Important	33
Slightly Important	25
Unimportant	3

Length

Max length	20
Median length	18
Mean length	12.77319588
Min length	9

Characters and Unicode

Total characters	4956
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Important
2nd row	Very Important
3rd row	Moderately Important
4th row	Important
5th row	Very Important

Common Values

Value	Count	Frequency (%)
Very Important	174	44.8%
Important	153	39.4%
Moderately Important	33	8.5%
Slightly Important	25	6.4%
Unimportant	3	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
important	385	62.1%
very	174	28.1%
moderately	33	5.3%
slightly	25	4.0%
unimportant	3	0.5%

Most occurring characters

Value	Count	Frequency (%)
t	834	16.8%
r	595	12.0%
a	421	8.5%
o	421	8.5%
n	391	7.9%
m	388	7.8%
p	388	7.8%
I	385	7.8%
e	240	4.8%
y	232	4.7%
Other values (10)	661	13.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4104	82.8%
Uppercase Letter	620	12.5%
Space Separator	232	4.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	834	20.3%
r	595	14.5%
a	421	10.3%
o	421	10.3%
n	391	9.5%
m	388	9.5%
p	388	9.5%
e	240	5.8%
y	232	5.7%
l	83	2.0%
Other values (4)	111	2.7%

Uppercase Letter

Value	Count	Frequency (%)
I	385	62.1%
V	174	28.1%
M	33	5.3%
S	25	4.0%
U	3	0.5%

Space Separator

Value	Count	Frequency (%)
	232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4724	95.3%
Common	232	4.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	834	17.7%
r	595	12.6%
a	421	8.9%
o	421	8.9%
n	391	8.3%
m	388	8.2%
p	388	8.2%
I	385	8.1%
e	240	5.1%
y	232	4.9%
Other values (9)	429	9.1%

Common

Value	Count	Frequency (%)
	232	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4956	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	834	16.8%
r	595	12.0%
a	421	8.5%
o	421	8.5%
n	391	7.9%
m	388	7.8%
p	388	7.8%
I	385	7.8%
e	240	4.8%
y	232	4.7%
Other values (10)	661	13.3%

Output
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	516.0 B

True	301
False	87

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	301	77.6%
False	87	22.4%

Reviews
Categorical

HIGH CARDINALITY

Distinct	181
Distinct (%)	46.6%
Missing	0
Missing (%)	0.0%
Memory size	3.2 KiB

NIL	78
Nil	57
nil	5
No	4
I'm quite satisfied with the service	3
Other values (176)	241

Length

Max length	203
Median length	113
Mean length	36.23195876
Min length	1

Characters and Unicode

Total characters	14058
Distinct characters	66
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	133 ?
Unique (%)	34.3%

Sample

1st row	Nil
2nd row	Nil
3rd row	Many a times payment gateways are an issue, so getting the refund and the surcharges are an inconvenience
4th row	nil
5th row	NIL

Common Values

Value	Count	Frequency (%)
NIL	78	20.1%
Nil	57	14.7%
nil	5	1.3%
No	4	1.0%
I'm quite satisfied with the service	3	0.8%
Need quality food delivery. had worst experience of spilled food	3	0.8%
Delivery people are working hard. Can't complain	3	0.8%
My entire family loves swiggy	3	0.8%
Faster delivery is needed !!	3	0.8%
I would avoid restaurants which has less rating	3	0.8%
Other values (171)	226	58.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nil	146	5.8%
delivery	121	4.8%
i	103	4.1%
the	67	2.6%
to	61	2.4%
food	51	2.0%
and	49	1.9%
is	46	1.8%
with	44	1.7%
my	38	1.5%
Other values (443)	1806	71.3%

Most occurring characters

Value	Count	Frequency (%)
	2184	15.5%
e	1538	10.9%
i	896	6.4%
r	802	5.7%
o	797	5.7%
t	787	5.6%
a	726	5.2%
s	662	4.7%
d	575	4.1%
l	544	3.9%
Other values (56)	4547	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10665	75.9%
Space Separator	2184	15.5%
Uppercase Letter	995	7.1%
Other Punctuation	197	1.4%
Decimal Number	10	0.1%
Dash Punctuation	4	< 0.1%
Control	2	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1538	14.4%
i	896	8.4%
r	802	7.5%
o	797	7.5%
t	787	7.4%
a	726	6.8%
s	662	6.2%
d	575	5.4%
l	544	5.1%
n	506	4.7%
Other values (16)	2832	26.6%

Uppercase Letter

Value	Count	Frequency (%)
I	224	22.5%
N	180	18.1%
L	106	10.7%
B	59	5.9%
S	50	5.0%
T	49	4.9%
F	43	4.3%
E	35	3.5%
O	34	3.4%
A	33	3.3%
Other values (14)	182	18.3%

Decimal Number

Value	Count	Frequency (%)
0	3	30.0%
5	2	20.0%
6	1	10.0%
7	1	10.0%
4	1	10.0%
1	1	10.0%
9	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	81	41.1%
!	49	24.9%
'	38	19.3%
,	25	12.7%
?	4	2.0%

Space Separator

Value	Count	Frequency (%)
	2184	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11660	82.9%
Common	2398	17.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1538	13.2%
i	896	7.7%
r	802	6.9%
o	797	6.8%
t	787	6.7%
a	726	6.2%
s	662	5.7%
d	575	4.9%
l	544	4.7%
n	506	4.3%
Other values (40)	3827	32.8%

Common

Value	Count	Frequency (%)
	2184	91.1%
.	81	3.4%
!	49	2.0%
'	38	1.6%
,	25	1.0%
-	4	0.2%
?	4	0.2%
0	3	0.1%
	2	0.1%
5	2	0.1%
Other values (6)	6	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2184	15.5%
e	1538	10.9%
i	896	6.4%
r	802	5.7%
o	797	5.7%
t	787	5.6%
a	726	5.2%
s	662	4.7%
d	575	4.1%
l	544	3.9%
Other values (56)	4547	32.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Age	Gender	Marital Status	Occupation	Monthly Income	Educational Qualifications	Family size	latitude	longitude	Pin code	Medium (P1)	Medium (P2)	Meal(P1)	Meal(P2)	Perference(P1)	Perference(P2)	Ease and convenient	Time saving	More restaurant choices	Easy Payment option	More Offers and Discount	Good Food quality	Good Tracking system	Self Cooking	Health Concern	Late Delivery	Poor Hygiene	Bad past experience	Unavailability	Unaffordable	Long delivery time	Delay of delivery person getting assigned	Delay of delivery person picking up food	Wrong order delivered	Missing item	Order placed by mistake	Influence of time	Order Time	Maximum wait time	Residence in busy location	Google Maps Accuracy	Good Road Condition	Low quantity low time	Delivery person ability	Influence of rating	Less Delivery time	High Quality of package	Number of calls	Politeness	Freshness	Temperature	Good Taste	Good Quantity	Output	Reviews
0	20	Female	Single	Student	No Income	Post Graduate	4	12.9766	77.5993	560001	Food delivery apps	Web browser	Breakfast	Lunch	Non Veg foods (Lunch / Dinner)	Bakery items (snacks)	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Agree	Agree	Agree	Agree	Yes	Weekend (Sat & Sun)	30 minutes	Agree	Neutral	Neutral	Neutral	Neutral	Yes	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Yes	Nil\n
1	24	Female	Single	Student	Below Rs.10000	Graduate	3	12.9770	77.5773	560009	Food delivery apps	Web browser	Snacks	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Neutral	Agree	Strongly agree	Strongly agree	Agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Yes	Anytime (Mon-Sun)	30 minutes	Strongly Agree	Neutral	Disagree	Strongly disagree	Agree	Yes	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil
2	22	Male	Single	Student	Below Rs.10000	Post Graduate	3	12.9551	77.6593	560017	Food delivery apps	Direct call	Lunch	Snacks	Non Veg foods (Lunch / Dinner)	Ice cream / Cool drinks	Strongly agree	Strongly agree	Strongly agree	Neutral	Neutral	Disagree	Neutral	Disagree	Neutral	Neutral	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Strongly agree	Agree	Neutral	Yes	Anytime (Mon-Sun)	45 minutes	Agree	Strongly Agree	Neutral	Neutral	Agree	Yes	Important	Very Important	Moderately Important	Very Important	Very Important	Important	Very Important	Moderately Important	Yes	Many a times payment gateways are an issue, so getting the refund and the surcharges are an inconvenience
3	22	Female	Single	Student	No Income	Graduate	6	12.9473	77.5616	560019	Food delivery apps	Walk-in	Snacks	Dinner	Veg foods (Breakfast / Lunch / Dinner)	Bakery items (snacks)	Agree	Agree	Strongly agree	Agree	Strongly agree	Agree	Agree	Agree	Strongly agree	Neutral	Agree	Disagree	Disagree	Neutral	Agree	Agree	Agree	Disagree	Disagree	Neutral	Yes	Anytime (Mon-Sun)	30 minutes	Disagree	Agree	Agree	Neutral	Agree	Yes	Very Important	Important	Moderately Important	Very Important	Very Important	Very Important	Very Important	Important	Yes	nil
4	22	Male	Single	Student	Below Rs.10000	Post Graduate	4	12.9850	77.5533	560010	Walk-in	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Agree	Agree	Agree	Neutral	Neutral	Agree	Strongly agree	Strongly agree	Agree	Strongly agree	Agree	Disagree	Strongly agree	Strongly agree	Neutral	Neutral	Neutral	Disagree	Yes	Weekend (Sat & Sun)	30 minutes	Agree	Agree	Agree	Agree	Agree	Yes	Important	Important	Moderately Important	Important	Important	Important	Very Important	Very Important	Yes	NIL
5	27	Female	Married	Employee	More than 50000	Post Graduate	2	12.9299	77.6848	560103	Food delivery apps	Walk-in	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Neutral	Agree	Agree	Neutral	Agree	Disagree	Neutral	Agree	Agree	Agree	Agree	Agree	Strongly agree	Strongly agree	Strongly agree	Agree	Strongly agree	Strongly agree	Yes	Anytime (Mon-Sun)	45 minutes	Neutral	Agree	Neutral	Neutral	Neutral	Yes	Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Yes	NIL
6	22	Male	Single	Student	No Income	Graduate	3	12.9770	77.5773	560009	Food delivery apps	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Strongly agree	Agree	Strongly agree	Agree	Neutral	Agree	Disagree	Agree	Disagree	Agree	Disagree	Strongly agree	Strongly disagree	Neutral	Disagree	Disagree	Strongly agree	Strongly agree	Strongly agree	No	Anytime (Mon-Sun)	45 minutes	Agree	Strongly Agree	Disagree	Agree	Strongly Agree	Yes	Very Important	Very Important	Unimportant	Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil
7	24	Female	Single	Student	No Income	Post Graduate	3	12.9828	77.6131	560042	Food delivery apps	Direct call	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Ice cream / Cool drinks	Strongly agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Agree	Neutral	Agree	Agree	Yes	Weekend (Sat & Sun)	45 minutes	Agree	Agree	Agree	Neutral	Disagree	Maybe	Moderately Important	Important	Moderately Important	Slightly Important	Important	Moderately Important	Very Important	Very Important	Yes	NIL
8	23	Female	Single	Student	No Income	Post Graduate	2	12.9766	77.5993	560001	Food delivery apps	Direct call	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Strongly agree	Agree	Agree	Neutral	Agree	Agree	Agree	Neutral	Agree	Neutral	Neutral	Disagree	Agree	Agree	Agree	Agree	Agree	Strongly agree	Yes	Anytime (Mon-Sun)	30 minutes	Disagree	Disagree	Neutral	Agree	Agree	Maybe	Important	Important	Important	Important	Important	Important	Important	Important	Yes	Nil
9	23	Female	Single	Student	No Income	Post Graduate	4	12.9854	77.7081	560048	Food delivery apps	Walk-in	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Neutral	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Agree	Neutral	Agree	Agree	Yes	Weekend (Sat & Sun)	45 minutes	Agree	Agree	Agree	Disagree	Disagree	Yes	Moderately Important	Very Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Very Important	Very Important	Yes	Nil

Last rows

	Age	Gender	Marital Status	Occupation	Monthly Income	Educational Qualifications	Family size	latitude	longitude	Pin code	Medium (P1)	Medium (P2)	Meal(P1)	Meal(P2)	Perference(P1)	Perference(P2)	Ease and convenient	Time saving	More restaurant choices	Easy Payment option	More Offers and Discount	Good Food quality	Good Tracking system	Self Cooking	Health Concern	Late Delivery	Poor Hygiene	Bad past experience	Unavailability	Unaffordable	Long delivery time	Delay of delivery person getting assigned	Delay of delivery person picking up food	Wrong order delivered	Missing item	Order placed by mistake	Influence of time	Order Time	Maximum wait time	Residence in busy location	Google Maps Accuracy	Good Road Condition	Low quantity low time	Delivery person ability	Influence of rating	Less Delivery time	High Quality of package	Number of calls	Politeness	Freshness	Temperature	Good Taste	Good Quantity	Output	Reviews
378	23	Female	Single	Employee	25001 to 50000	Post Graduate	2	12.9847	77.5491	560100	Food delivery apps	Walk-in	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Neutral	Agree	Agree	Strongly agree	Agree	Strongly agree	Disagree	Disagree	Strongly disagree	Disagree	Strongly disagree	Strongly disagree	Disagree	Agree	Agree	Neutral	Agree	Agree	Strongly agree	Yes	Anytime (Mon-Sun)	30 minutes	Agree	Strongly Agree	Strongly Agree	Agree	Agree	Yes	Important	Moderately Important	Important	Important	Important	Important	Very Important	Very Important	Yes	My location is pretty well built for food delivery
379	22	Male	Single	Student	Below Rs.10000	Post Graduate	4	12.9850	77.5533	560010	Walk-in	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Agree	Agree	Agree	Neutral	Neutral	Agree	Strongly agree	Strongly agree	Agree	Strongly agree	Agree	Disagree	Strongly agree	Strongly agree	Neutral	Neutral	Neutral	Disagree	Yes	Weekend (Sat & Sun)	30 minutes	Agree	Agree	Agree	Agree	Agree	Yes	Important	Important	Moderately Important	Important	Important	Important	Very Important	Very Important	Yes	NIL
380	27	Female	Married	Employee	More than 50000	Post Graduate	2	12.9299	77.6848	560103	Food delivery apps	Walk-in	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Neutral	Agree	Agree	Neutral	Agree	Disagree	Neutral	Agree	Agree	Agree	Agree	Agree	Strongly agree	Strongly agree	Strongly agree	Agree	Strongly agree	Strongly agree	Yes	Anytime (Mon-Sun)	45 minutes	Neutral	Agree	Neutral	Neutral	Neutral	Yes	Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Yes	NIL
381	22	Male	Single	Student	No Income	Graduate	3	12.9770	77.5773	560009	Food delivery apps	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Strongly agree	Agree	Strongly agree	Agree	Neutral	Agree	Disagree	Agree	Disagree	Agree	Disagree	Strongly agree	Strongly disagree	Neutral	Disagree	Disagree	Strongly agree	Strongly agree	Strongly agree	No	Anytime (Mon-Sun)	45 minutes	Agree	Strongly Agree	Disagree	Agree	Strongly Agree	Yes	Very Important	Very Important	Unimportant	Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil
382	24	Female	Single	Student	No Income	Post Graduate	3	12.9828	77.6131	560042	Food delivery apps	Direct call	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Ice cream / Cool drinks	Strongly agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Agree	Neutral	Agree	Agree	Yes	Weekend (Sat & Sun)	45 minutes	Agree	Agree	Agree	Neutral	Disagree	Maybe	Moderately Important	Important	Moderately Important	Slightly Important	Important	Moderately Important	Very Important	Very Important	Yes	NIL
383	23	Female	Single	Student	No Income	Post Graduate	2	12.9766	77.5993	560001	Food delivery apps	Direct call	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Strongly agree	Agree	Agree	Neutral	Agree	Agree	Agree	Neutral	Agree	Neutral	Neutral	Disagree	Agree	Agree	Agree	Agree	Agree	Strongly agree	Yes	Anytime (Mon-Sun)	30 minutes	Disagree	Disagree	Neutral	Agree	Agree	Maybe	Important	Important	Important	Important	Important	Important	Important	Important	Yes	Nil
384	23	Female	Single	Student	No Income	Post Graduate	4	12.9854	77.7081	560048	Food delivery apps	Walk-in	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Neutral	Neutral	Neutral	Neutral	Neutral	Agree	Agree	Agree	Neutral	Agree	Agree	Yes	Weekend (Sat & Sun)	45 minutes	Agree	Agree	Agree	Disagree	Disagree	Yes	Moderately Important	Very Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Very Important	Very Important	Yes	Nil
385	22	Female	Single	Student	No Income	Post Graduate	5	12.9850	77.5533	560010	Food delivery apps	Direct call	Snacks	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Agree	Agree	Agree	Neutral	Agree	Agree	Strongly agree	Agree	Strongly agree	Agree	Agree	Agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Yes	Anytime (Mon-Sun)	45 minutes	Agree	Agree	Strongly Agree	Neutral	Agree	Yes	Important	Very Important	Important	Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil
386	23	Male	Single	Student	Below Rs.10000	Post Graduate	2	12.9770	77.5773	560009	Food delivery apps	Walk-in	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Agree	Agree	Strongly agree	Agree	Strongly agree	Disagree	Agree	Strongly agree	Strongly agree	Neutral	Strongly agree	Strongly agree	Agree	Strongly agree	Strongly agree	Disagree	Maybe	Weekend (Sat & Sun)	45 minutes	Strongly Agree	Disagree	Agree	Disagree	Strongly Agree	Yes	Important	Very Important	Important	Very Important	Very Important	Important	Very Important	Very Important	Yes	Language barrier is also one major issue. Moslty these delivery boys are only familiar with Kanada which creates a problem while addressing any issue.
387	23	Male	Single	Student	No Income	Post Graduate	5	12.8988	77.5764	560078	Walk-in	Direct call	Snacks	Dinner	Non Veg foods (Lunch / Dinner)	Bakery items (snacks)	Agree	Neutral	Agree	Agree	Agree	Disagree	Agree	Neutral	Agree	Neutral	Agree	Disagree	Disagree	Neutral	Agree	Neutral	Neutral	Disagree	Strongly disagree	Strongly disagree	Yes	Weekend (Sat & Sun)	30 minutes	Agree	Agree	Neutral	Disagree	Agree	Maybe	Slightly Important	Unimportant	Slightly Important	Moderately Important	Moderately Important	Moderately Important	Moderately Important	Slightly Important	Yes	Nil

Most frequently occurring

	Age	Gender	Marital Status	Occupation	Monthly Income	Educational Qualifications	Family size	latitude	longitude	Pin code	Medium (P1)	Medium (P2)	Meal(P1)	Meal(P2)	Perference(P1)	Perference(P2)	Ease and convenient	Time saving	More restaurant choices	Easy Payment option	More Offers and Discount	Good Food quality	Good Tracking system	Self Cooking	Health Concern	Late Delivery	Poor Hygiene	Bad past experience	Unavailability	Unaffordable	Long delivery time	Delay of delivery person getting assigned	Delay of delivery person picking up food	Wrong order delivered	Missing item	Order placed by mistake	Influence of time	Order Time	Maximum wait time	Residence in busy location	Google Maps Accuracy	Good Road Condition	Low quantity low time	Delivery person ability	Influence of rating	Less Delivery time	High Quality of package	Number of calls	Politeness	Freshness	Temperature	Good Taste	Good Quantity	Output	Reviews	# duplicates
23	23	Female	Single	Student	No Income	Post Graduate	4	13.0487	77.5923	560024	Food delivery apps	Direct call	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Strongly agree	Strongly agree	Neutral	Neutral	Strongly agree	Strongly agree	Neutral	Disagree	Neutral	Strongly agree	Agree	Neutral	Disagree	Agree	Agree	Agree	Strongly agree	Agree	Neutral	Yes	Weekend (Sat & Sun)	45 minutes	Neutral	Neutral	Neutral	Neutral	Neutral	Yes	Important	Important	Moderately Important	Moderately Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil	6
18	23	Female	Single	Student	No Income	Graduate	5	13.0206	77.6479	560043	Food delivery apps	Direct call	Lunch	Snacks	Veg foods (Breakfast / Lunch / Dinner)	Ice cream / Cool drinks	Strongly agree	Agree	Agree	Neutral	Agree	Neutral	Neutral	Agree	Neutral	Agree	Agree	Neutral	Agree	Disagree	Neutral	Neutral	Neutral	Neutral	Neutral	Neutral	Yes	Weekdays (Mon-Fri)	45 minutes	Neutral	Neutral	Neutral	Neutral	Neutral	Yes	Slightly Important	Moderately Important	Slightly Important	Slightly Important	Important	Important	Important	Important	Yes	Nil	4
0	20	Male	Single	Student	No Income	Graduate	2	12.9261	77.6221	560034	Food delivery apps	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Strongly agree	Agree	Agree	Strongly agree	Agree	Strongly agree	Disagree	Disagree	Agree	Disagree	Disagree	Strongly disagree	Strongly disagree	Agree	Strongly agree	Agree	Strongly disagree	Strongly disagree	Strongly disagree	Yes	Weekend (Sat & Sun)	45 minutes	Agree	Strongly Agree	Agree	Agree	Disagree	Yes	Important	Moderately Important	Moderately Important	Important	Important	Very Important	Very Important	Important	Yes	I had no issues as per my experience. But heard delivery people are sometimes rude	3
2	21	Male	Single	Student	No Income	Graduate	2	13.0012	77.5995	560046	Food delivery apps	Direct call	Dinner	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Disagree	Disagree	Neutral	Disagree	Neutral	Disagree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Agree	Disagree	Neutral	Agree	Disagree	Disagree	Disagree	Yes	Anytime (Mon-Sun)	30 minutes	Agree	Strongly Agree	Agree	Agree	Strongly Agree	Yes	Moderately Important	Important	Important	Important	Important	Very Important	Very Important	Very Important	No	Delivery is late. Need quick updates on location of order	3
5	21	Male	Single	Student	No Income	Graduate	5	12.9783	77.6408	560038	Food delivery apps	Web browser	Lunch	Snacks	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Strongly agree	Agree	Agree	Strongly agree	Agree	Neutral	Agree	Neutral	Agree	Agree	Disagree	Disagree	Disagree	Disagree	Neutral	Disagree	Agree	Agree	Strongly agree	Yes	Weekend (Sat & Sun)	45 minutes	Agree	Neutral	Agree	Strongly Agree	Strongly Agree	Yes	Important	Important	Very Important	Important	Slightly Important	Moderately Important	Important	Important	Yes	I love ordering for my family from swiggy	3
6	22	Female	Single	Employee	25001 to 50000	Graduate	4	12.8845	77.6036	560076	Food delivery apps	Walk-in	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Agree	Neutral	Neutral	Agree	Neutral	Agree	Agree	Strongly agree	Neutral	Strongly agree	Agree	Agree	Disagree	Disagree	Disagree	Disagree	Agree	Agree	Agree	Yes	Anytime (Mon-Sun)	45 minutes	Strongly Agree	Strongly Agree	Strongly Agree	Agree	Agree	Yes	Important	Very Important	Very Important	Very Important	Very Important	Important	Very Important	Important	Yes	NIL	3
8	22	Female	Single	Student	No Income	Graduate	2	12.9369	77.6407	560095	Food delivery apps	Direct call	Breakfast	Snacks	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Disagree	Disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	Strongly disagree	No	Anytime (Mon-Sun)	More than 60 minutes	Agree	Agree	Strongly Agree	Agree	Disagree	Maybe	Important	Important	Very Important	Very Important	Very Important	Very Important	Very Important	Very Important	Yes	Delivery people are working hard. Can't complain	3
10	22	Female	Single	Student	No Income	Post Graduate	5	12.9850	77.5533	560010	Food delivery apps	Direct call	Snacks	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Agree	Agree	Agree	Neutral	Agree	Agree	Strongly agree	Agree	Strongly agree	Agree	Agree	Agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Strongly agree	Yes	Anytime (Mon-Sun)	45 minutes	Agree	Agree	Strongly Agree	Neutral	Agree	Yes	Important	Very Important	Important	Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil	3
12	22	Male	Single	Student	Below Rs.10000	Post Graduate	4	12.9850	77.5533	560010	Walk-in	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Agree	Agree	Agree	Agree	Agree	Neutral	Neutral	Agree	Strongly agree	Strongly agree	Agree	Strongly agree	Agree	Disagree	Strongly agree	Strongly agree	Neutral	Neutral	Neutral	Disagree	Yes	Weekend (Sat & Sun)	30 minutes	Agree	Agree	Agree	Agree	Agree	Yes	Important	Important	Moderately Important	Important	Important	Important	Very Important	Very Important	Yes	NIL	3
13	22	Male	Single	Student	No Income	Graduate	3	12.9770	77.5773	560009	Food delivery apps	Direct call	Lunch	Dinner	Non Veg foods (Lunch / Dinner)	Veg foods (Breakfast / Lunch / Dinner)	Strongly agree	Strongly agree	Agree	Strongly agree	Agree	Neutral	Agree	Disagree	Agree	Disagree	Agree	Disagree	Strongly agree	Strongly disagree	Neutral	Disagree	Disagree	Strongly agree	Strongly agree	Strongly agree	No	Anytime (Mon-Sun)	45 minutes	Agree	Strongly Agree	Disagree	Agree	Strongly Agree	Yes	Very Important	Very Important	Unimportant	Important	Very Important	Very Important	Very Important	Very Important	Yes	Nil	3

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common